In [1]:
# Import pakietów 

import pandas as pd
import numpy as np
import yaml
from pathlib import Path, PurePath
from sqlalchemy import create_engine
import cx_Oracle
import sys
import plotly.express as px
import plotly.graph_objects as go
import plotly.figure_factory as ff
import ppscore as pps
import seaborn as sns
import matplotlib.pyplot as plt
import datetime
import shap
from scipy.stats.distributions import uniform, randint
from scipy.stats import zscore
from lightgbm import LGBMRegressor
from sklearn.model_selection import RandomizedSearchCV, StratifiedKFold, KFold, train_test_split
from yellowbrick.regressor.residuals import residuals_plot, prediction_error

# Zarządzanie ścieżkami
cwd = Path.cwd()
path = PurePath(cwd)
config_path = path.parent.joinpath("config").joinpath("config.yaml")
dtypes_path = path.parent.joinpath("config").joinpath("dtypes_schema.yaml")
outputs_path = path.parent.joinpath("outputs")
functions_path = path.parent.joinpath("src").joinpath("python")

# Dodanie ścieżki do funkcji stworzonych w ramach projektu
sys.path.append(str(functions_path))
The sklearn.metrics.classification module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.metrics. Anything that cannot be imported from sklearn.metrics is now part of the private API.
In [2]:
# Ustawienia biblioteki pandas
pd.options.display.max_columns = 40
pd.options.display.max_rows = 500
pd.options.display.max_colwidth = None
pd.set_option('display.float_format', lambda x: '%.3f' % x)
In [3]:
# Import funkcji stworzonych w ramach projektu
from data_cleaning_and_EDA import (obtain_district, 
                                   obtain_localisation, 
                                   obtain_travel_info_driving, 
                                   obtain_travel_info_transit, 
                                   create_bar_plot, 
                                   calculate_metrics)
In [4]:
# Wczytanie schematu typów danych
with open(dtypes_path, "r") as ymlfile:
    # Using yaml SafeLoader to load configuration into dict
    dtypes = yaml.load(ymlfile, Loader=yaml.SafeLoader)

1. Pobranie danych z bazy danych

Tworzenia połączenia do bazy danych i pobranie zawartości tabeli OTODOM_OFFERS_DETAILS do postaci ramki danych df

In [5]:
# Wczytanie pliku konfiguracyjnego
with open(config_path, "r") as ymlfile:
    # Using yaml SafeLoader to load configuration into dict
    config = yaml.load(ymlfile, Loader=yaml.SafeLoader)
    
# Załaduj dane do połączenia z bazą z pliku config
host = config["host"]
port = config["port"]
service_name = config["service_name"]
user = config["user"]
password = config["password"]

# Stwórz połączenie do bazy danych wykorzystując pakiet SQLAlchemy
dns = cx_Oracle.makedsn(host, port, sid=service_name)
connection_string = f'oracle+cx_oracle://{user}:{password}@{dns}'
engine = create_engine(connection_string)
In [6]:
# Pobranie danych z bazy do ramki danych
sql_query = """SELECT * from grzkup_p.otodom_offers_details where id in (SELECT id from (SELECT DISTINCT numer_oferty, id from grzkup_p.otodom_offers_details)) ORDER BY id"""
df = pd.read_sql_query(sql=sql_query, con=engine, index_col="id")
In [7]:
# # Zapisz zbiór jako plik csv (backup)
# df.to_csv(outputs_path.joinpath("input_dataset.csv"), encoding="windows-1250")
In [8]:
# # Wczytaj zbiór z pliku CSV - jeśli brak połączenia z bazą danych
# df = pd.read_csv(outputs_path.joinpath("input_dataset.csv"), encoding="windows-1250", dtype=dtypes, index_col=0)

2. Sprawdzenie jakości zbioru + czyszczenie

In [9]:
# 5 pierwszych rekordów
df.head()
Out[9]:
id_offers miasto dzielnica ulica tytul powierzchnia cena cena_metr liczba_pokoi rynek zabudowa pietro liczba_pieter material_budynku okna ogrzewanie rok_budowy stan_wykonczenia czynsz forma_wlasnosci numer_oferty teren_zamkniety balkon ogrodek garaz_miejsce winda piwnica monitoring_ochrona
id
1 1 Gdańsk Osowa ul. Homera Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem 41.750 309000 7401.000 3 pierwotny blok parter 2.000 pustak plastikowe miejskie 2020.000 do_wykonczenia nan pelna_wlasnosc 60942989 0 0 1 0 1 0 0
2 2 Gdańsk Ujeścisko-Łostowice ul. Świętokrzyska Idealne, nowe mieszkanie 2 pokojowe 46.600 415000 8906.000 2 wtorny blok 2 2.000 None plastikowe miejskie 2018.000 do_zamieszkania 400.000 pelna_wlasnosc 60831045 0 1 0 0 1 1 1
3 3 Gdańsk Śródmieście Wałowa 2 pokoje w centrum Gdańska w niskiej cenie 33.800 313000 9260.000 2 pierwotny apartamentowiec 4 5.000 None None miejskie 2020.000 do_wykonczenia 9.000 pelna_wlasnosc 60933557 0 0 0 0 1 0 1
4 4 Gdynia Dąbrowa Sojowa Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks 42.000 249000 5929.000 2 wtorny blok 3 3.000 wielka_plyta plastikowe miejskie 1994.000 do_zamieszkania 340.000 pelna_wlasnosc 60783576 0 0 0 0 0 0 0
5 5 Gdynia Dąbrowa None Kameralne bezpieczne w zieleni garaż 30m2 kominek 132.000 1120000 8485.000 4 wtorny apartamentowiec 1 2.000 None None gazowe 2018.000 do_zamieszkania nan pelna_wlasnosc 60949737 1 0 0 0 0 1 1
In [10]:
# Wyświetlenie statystyk dla wszystkich zmiennych
df.describe()
Out[10]:
id_offers powierzchnia cena cena_metr liczba_pokoi liczba_pieter rok_budowy czynsz numer_oferty teren_zamkniety balkon ogrodek garaz_miejsce winda piwnica monitoring_ochrona
count 4535.000 4535.000 4535.000 4535.000 4535.000 4402.000 3968.000 2102.000 4535.000 4535.000 4535.000 4535.000 4535.000 4535.000 4535.000 4535.000
mean 2492.069 61.948 655785.911 10383.284 2.750 4.643 1997.432 483.096 60614873.263 0.163 0.569 0.135 0.000 0.396 0.502 0.218
std 1465.159 28.816 539693.134 4020.825 1.006 3.190 289.745 201.431 1075283.454 0.370 0.495 0.342 0.000 0.489 0.500 0.413
min 1.000 15.000 140000.000 1939.000 1.000 1.000 80.000 3.000 39200108.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
25% 1219.500 43.180 389465.000 7847.500 2.000 3.000 1975.000 350.000 60699195.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000
50% 2549.000 56.620 500000.000 9350.000 3.000 4.000 2008.000 450.000 60842625.000 0.000 1.000 0.000 0.000 0.000 1.000 0.000
75% 3757.500 72.410 729000.000 11895.000 3.000 5.000 2019.000 600.000 60911108.000 0.000 1.000 0.000 0.000 1.000 1.000 0.000
max 4981.000 393.400 16000000.000 49933.000 9.000 38.000 20004.000 2000.000 60960685.000 1.000 1.000 1.000 0.000 1.000 1.000 1.000

Zmienna "rok_budowy" zawiera błędne wartości na co wskazuje wartość minimalna 80 i maksymalna 20004.

In [11]:
# Sprawdzenie ofert dla budynków zbudowanych wcześniej niż 1900 rok
df[df["rok_budowy"] < 1900]["rok_budowy"]
Out[11]:
id
23     1802.000
863    1802.000
1084   1005.000
1456   1895.000
1888   1802.000
1889   1898.000
1912   1898.000
1978   1890.000
2168   1898.000
2505   1869.000
2627   1890.000
2665   1898.000
3341     80.000
3364   1802.000
3438   1802.000
3791   1895.000
Name: rok_budowy, dtype: float64
In [12]:
# Sprawdzenie rekordów z najniższymi wartościami - 80 i 1005 rok budowy
df[df["rok_budowy"] < 1100]

# Sprawdzenie rejonu dla ulicy Narcyzowej (bloki mieszkalne) wskazuje, że najprawdopodobniej 
# autor ogłoszenia miał na myśli rok 1980
df[df["rok_budowy"] == 80]["rok_budowy"] = 1980

# W drugim przypadku, z uwagi na możliwość błędnego uzupełnienia wartości, zdecydowano się wyrzucić rekord z rokiem budowy jako 1005
to_drop_index = df[df["rok_budowy"] == 1005].index
df.drop(to_drop_index, axis=0)
Out[12]:
id_offers miasto dzielnica ulica tytul powierzchnia cena cena_metr liczba_pokoi rynek zabudowa pietro liczba_pieter material_budynku okna ogrzewanie rok_budowy stan_wykonczenia czynsz forma_wlasnosci numer_oferty teren_zamkniety balkon ogrodek garaz_miejsce winda piwnica monitoring_ochrona
id
1 1 Gdańsk Osowa ul. Homera Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem 41.750 309000 7401.000 3 pierwotny blok parter 2.000 pustak plastikowe miejskie 2020.000 do_wykonczenia nan pelna_wlasnosc 60942989 0 0 1 0 1 0 0
2 2 Gdańsk Ujeścisko-Łostowice ul. Świętokrzyska Idealne, nowe mieszkanie 2 pokojowe 46.600 415000 8906.000 2 wtorny blok 2 2.000 None plastikowe miejskie 2018.000 do_zamieszkania 400.000 pelna_wlasnosc 60831045 0 1 0 0 1 1 1
3 3 Gdańsk Śródmieście Wałowa 2 pokoje w centrum Gdańska w niskiej cenie 33.800 313000 9260.000 2 pierwotny apartamentowiec 4 5.000 None None miejskie 2020.000 do_wykonczenia 9.000 pelna_wlasnosc 60933557 0 0 0 0 1 0 1
4 4 Gdynia Dąbrowa Sojowa Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks 42.000 249000 5929.000 2 wtorny blok 3 3.000 wielka_plyta plastikowe miejskie 1994.000 do_zamieszkania 340.000 pelna_wlasnosc 60783576 0 0 0 0 0 0 0
5 5 Gdynia Dąbrowa None Kameralne bezpieczne w zieleni garaż 30m2 kominek 132.000 1120000 8485.000 4 wtorny apartamentowiec 1 2.000 None None gazowe 2018.000 do_zamieszkania nan pelna_wlasnosc 60949737 1 0 0 0 0 1 1
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
4531 4977 Gdynia Grabówek Bronisława Dembińskiego Grabówek! 3 pokoje! Semeko 68.200 630000 9238.000 3 wtorny None 5 5.000 None None miejskie 2012.000 None nan pelna_wlasnosc 60749827 0 0 0 0 0 0 0
4532 4978 Gdańsk Wrzeszcz Grunwaldzka 3 Pokoje/ Wrzeszcz/ Kamienica/ Wysokość 3,75M 79.300 595000 7503.000 3 wtorny kamienica 1 3.000 cegla None gazowe 1905.000 do_zamieszkania nan pelna_wlasnosc 60749655 0 1 0 0 0 1 0
4533 4979 Gdynia Redłowo Powstania Styczniowego Dwupokojowe mieszkanie w doskonałej lokalizacji. 60.450 699000 11563.000 2 wtorny apartamentowiec 4 5.000 inne None miejskie 2010.000 do_zamieszkania 350.000 pelna_wlasnosc 60649032 1 1 0 0 1 0 1
4534 4980 Sopot Centrum Świemirowska Mieszkanie - Sopot Centrum 71.200 960000 13483.000 3 wtorny blok 2 3.000 None None miejskie 2006.000 do_zamieszkania nan pelna_wlasnosc 60574643 0 1 0 0 0 0 0
4535 4981 Sopot Wyścigi None Apartament - Sopot Wyścigi 36.000 829000 23028.000 1 wtorny apartamentowiec 1 3.000 None None miejskie 2013.000 do_zamieszkania 180.000 pelna_wlasnosc 60656898 0 1 0 0 0 0 1

4534 rows × 28 columns

In [13]:
# Sprawdzenie ofert dla budynków, których data budowy jest później niż 2020 rok
df[df["rok_budowy"] > 2020]["rok_budowy"]
Out[13]:
id
42      2021.000
57      2021.000
60      2022.000
66      2021.000
67      2021.000
69      2021.000
117     2021.000
165     2021.000
185     2021.000
219     2021.000
220     2021.000
248     2021.000
326     2022.000
565     2021.000
584     2021.000
652     2021.000
708     2021.000
717     2021.000
728     2021.000
729     2021.000
778     2021.000
779     2021.000
780     2021.000
831     2021.000
832     2021.000
833     2021.000
943     2021.000
976     2021.000
977     2021.000
981     2021.000
1119    2021.000
1137    2021.000
1165    2021.000
1220    2021.000
1235    2021.000
1248    2021.000
1260    2021.000
1281    2021.000
1298    2022.000
1372    2021.000
1378    2021.000
1385    2021.000
1410    2021.000
1411    2021.000
1413    2021.000
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1451    2021.000
1515    2021.000
1525    2022.000
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1557    2021.000
1560    2022.000
1561    2021.000
1568    2021.000
1569    2021.000
1570    2022.000
1572    2021.000
1590    2021.000
1676    2021.000
1705    2021.000
1706    2021.000
1707    2021.000
1722    2021.000
1723    2021.000
1771    2021.000
1791    2022.000
1806    2021.000
1824    2021.000
1825    2021.000
1843    2022.000
1844    2022.000
1845    2022.000
1869    2021.000
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1879    2021.000
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1893    2021.000
1894    2021.000
1895    2021.000
1896    2021.000
1898    2021.000
1899    2021.000
1918    2021.000
1935    2022.000
2081    2021.000
2240    2021.000
2242    2021.000
2254    2022.000
2255    2022.000
2256    2021.000
2257    2021.000
2258    2021.000
2263    2022.000
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2265    2022.000
2290    2021.000
2291    2021.000
2292    2021.000
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2302    2021.000
2315    2022.000
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2346    2021.000
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2800    2022.000
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2802    2021.000
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3733    2022.000
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3750    2021.000
3751    2021.000
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3773    2021.000
3815    2021.000
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3940    2021.000
3966    2021.000
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3968    2021.000
3969    2021.000
3973    2021.000
3974    2021.000
3975    2023.000
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4138    2022.000
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4159    2021.000
4216    2022.000
4223   20004.000
4270    2021.000
4281    2021.000
4292    2021.000
4303    2021.000
4339    2021.000
4358    2021.000
4359    2022.000
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4447    2022.000
4449    2021.000
4450    2021.000
4454    2021.000
4456    2021.000
4464    2021.000
4485    2021.000
4488    2021.000
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4490    2021.000
4491    2021.000
4493    2021.000
4499    2021.000
4510    2021.000
4511    2021.000
Name: rok_budowy, dtype: float64
In [14]:
# Sprawdzenie rekordu z najniższą wartością - 20004 rok budowy
df[df["rok_budowy"] == 20004]

# Poprawienie wartości na rok 2004
df[df["rok_budowy"] == 20004]["rok_budowy"] = 2004
In [15]:
# Liczba wartości w kolumnie miasto powinny być tylko Gdańsk, Sopot, Gdynia
print(df["miasto"].value_counts())
Gdańsk                          2742
Gdynia                          1320
Sopot                            328
Nasypowa                          25
Niepodległości                     8
Władysława Łokietka                7
Bohaterów Monte Cassino            6
ul. Władysława IV 34               6
Stylowa                            5
23 Marca                           5
ul. 10 Lutego                      5
al. Niepodległości                 4
Tadeusza Kościuszki                4
Bosmańska                          3
Aleja Iberyjska                    3
Armii Krajowej                     3
Władysława IV                      2
ul. Władysława Łokietka 55i        2
Świemirowska                       2
Oskara Kolberga                    2
inż. J. Śmidowicza                 2
Żeliwna                            2
Stefana Okrzei                     2
Artura Grottgera                   2
ul. Bitwy pod Płowcami             2
Władysława Jagiełły                2
Mikołaja Reja                      2
Swarzewska                         1
Borowikowa                         1
Bitwy pod Płowcami                 1
Wielkokacka                        1
Nauczycielska                      1
Kłajpedzka                         1
Pogodna                            1
Hugo Kołłątaja                     1
Świętojańska                       1
gen. Mariusza Zaruskiego           1
Chylońska                          1
Książąt Pomorskich                 1
Gryfa Pomorskiego                  1
Alfonsa Chmielewskiego             1
Żelazna                            1
Obodrzyców                         1
Dębowa                             1
ul. Warszawska                     1
Mazowiecka                         1
Grunwaldzka                        1
ul. Marii Curie-Skłodowskiej       1
Podgórska                          1
Sokoła                             1
Filipkowskiego                     1
Kazimierza Wielkiego               1
Sambora                            1
ul. Bronisława Dembińskiego        1
Jana Sobieskiego                   1
Morska                             1
Dantyszka                          1
gen. de Gaulle'a                   1
Dywizjonu 303                      1
Radosna                            1
Gospody                            1
Antoniego Abrahama                 1
Pomorska                           1
ul. Chylońska                      1
Ikara                              1
ul. Tatarczana                     1
Name: miasto, dtype: int64
In [16]:
# Wyświetlenie miasta, dzielnicy, ulicy oraz tytułu dla rekordów z niepoprawną wartością zmiennej miasto
df.loc[~df["miasto"].isin(["Gdańsk", "Gdynia", "Sopot"]), ["miasto", "dzielnica", "ulica", "tytul"]]
Out[16]:
miasto dzielnica ulica tytul
id
124 Stylowa Gdańsk pomorskie Przytulne mieszkanie dla rodziny
140 ul. Chylońska Gdynia pomorskie Kameralne mieszkanie w Gdyni 74 m3
173 al. Niepodległości Sopot pomorskie Mieszkanie, Sopot al. Niepodległości
241 ul. Bronisława Dembińskiego Gdynia pomorskie Mieszkanie os. Horyzonty Gdyni Grabówek
281 ul. Władysława IV 34 Sopot pomorskie Luksusowy apartament 200 m2, ogród
296 Świemirowska Sopot pomorskie 2 mieszkania w 1!
297 Tadeusza Kościuszki Sopot pomorskie Klimatyczne w Sopockiej kamienicy - 3,3m wysokości
301 Niepodległości Sopot pomorskie Ogrodzona posesja + możliwość wykupienia strychu
306 ul. Władysława IV 34 Sopot pomorskie Luksusowy apartament 200 m2, ogród
355 Niepodległości Sopot pomorskie Mieszkanie 3 pokojowe do remontu
375 23 Marca Sopot pomorskie Kawalerka Sopot Górny
430 al. Niepodległości Sopot pomorskie 3-pokojowe mieszkanie z klimatem w kamienicy!
457 Bohaterów Monte Cassino Sopot pomorskie Trzy Gracje Monte Cassino
458 Bohaterów Monte Cassino Sopot pomorskie 100m2 w nowym budownictwie na Sopockim Monciaku
459 Bohaterów Monte Cassino Sopot pomorskie second home/ Idealne pod wynajem/ 3 metry wysokośc
489 Filipkowskiego Gdynia pomorskie Gotowe do wprowadzenia Wiczlino Ogród 3 pokojowe
507 Bitwy pod Płowcami Sopot pomorskie Eleganckie 2-pokojowe wnętrze, 200 M od morza.
519 Grunwaldzka Sopot pomorskie Dobra Inwestycj.
579 Tadeusza Kościuszki Sopot pomorskie Apartament w unikatowej Sopockiej kamienicy
672 ul. Bitwy pod Płowcami Sopot pomorskie Apartament nad samym morzem Sopot
799 ul. Władysława IV 34 Sopot pomorskie Luksusowy apartament 200 m2, ogród
913 Niepodległości Sopot pomorskie Piękny apartament w sercu Sopotu
953 Niepodległości Sopot pomorskie Dwa pokoje z balkonem- Sopot!
973 23 Marca Sopot pomorskie Słoneczne mieszkanie na kameralnym osiedlu - Sopot
1004 Artura Grottgera Sopot pomorskie Mieszkanie 50m2 od Monte Cassino!
1026 Gryfa Pomorskiego Gdynia pomorskie 3 pok. z garażem oraz 2 balkonami po remoncie !!!
1068 ul. Władysława IV 34 Sopot pomorskie Luksusowy apartament 200 m2, ogród
1173 Niepodległości Sopot pomorskie Słoneczna kawalerka - Sopot blisko Skm
1181 Władysława IV Gdynia pomorskie Centrum Gdyni, miejsca parkingowe, 15min od plaży
1188 Nasypowa Gdynia pomorskie Hot oferta!!! Obowiązuje tylko do 12.09.2020.!!!
1189 Nasypowa Gdynia pomorskie Hot oferta, ważna tylko do 12.09.2020.
1190 Nasypowa Gdynia pomorskie Hot Oferta - ważna tylko do 12 września 2020
1191 Nasypowa Gdynia pomorskie Nowoczesne mieszkanie z widokiem na port
1192 Nasypowa Gdynia pomorskie Słoneczne mieszkanie w Gdyni z ogródkiem.
1193 Nasypowa Gdynia pomorskie Mieszkanie z ogródkiem i tarasem Super Lokalizacja
1194 Nasypowa Gdynia pomorskie Duże, nowe, 4-pokojowe z ogrodem 431 665 zł
1195 Nasypowa Gdynia pomorskie Nowe 2 pokojowe mieszkanie z balkonem
1196 Nasypowa Gdynia pomorskie Jednopokojowe mieszkanie w świetnej lokalizacji
1197 Nasypowa Gdynia pomorskie 4 pokojowe mieszkanie z widokiem na las w Gdyni !
1198 Nasypowa Gdynia pomorskie Nowe 4 pokojowe mieszkanie z dwoma ogródkami
1199 Nasypowa Gdynia pomorskie Gdynia, 2-pokojowe, nowe mieszkanie 316 575 zł!
1200 Nasypowa Gdynia pomorskie Kawalerka Z Ogródkiem Blisko Centrum !
1201 Nasypowa Gdynia pomorskie Ostatnie 3 pokojowe mieszkanie z tarasem z Kw !!!!
1202 Nasypowa Gdynia pomorskie 3 pokojowe mieszkanie w Gdyni z widokiem na Port!
1203 Nasypowa Gdynia pomorskie 2 pokoje 42,55 m2 + ogródek- blisko Centrum Gdyni
1205 Dantyszka Gdynia pomorskie Mieszkanie z widokiem na panoramę portu w Gdyni.
1206 Nasypowa Gdynia pomorskie 4 pokojowe mieszkanie w Gdyni za 424 705 zł !
1207 Nasypowa Gdynia pomorskie 2 pokoje 37,5 m2- blisko Centrum Gdyni!
1208 Nasypowa Gdynia pomorskie 4 pokojowe mieszkanie w Gdyni za 435 414 zł !
1212 Nasypowa Gdynia pomorskie Świetna cena - 4 pokoje w Gdyni za 410 357 zł !
1213 Nasypowa Gdynia pomorskie Gdynia: nowe 4 pokojowe w cenie 439 475,50 zł !
1306 Władysława IV Sopot pomorskie Mieszkanie z werandą w pięknej sopockiej kamienicy
1315 Morska Gdynia pomorskie Apartament Dwupoziomowy 105 m2 Gdynia!
1320 Bohaterów Monte Cassino Sopot pomorskie Sopot Klimatyczne mieszkanie na Monciaku
1346 Żeliwna Gdynia pomorskie Trzy pokojowe mieszkanie na Obłużu.
1427 ul. Warszawska Gdynia pomorskie Na sprzedaż 2-pokojowe mieszkanie - ul. Warszawska
1435 Żelazna Gdynia pomorskie Nowy apartament z pięknym widokiem na las.
1476 Dywizjonu 303 Gdańsk pomorskie 2 Pokoje/Zaspa/Piękny Widok/Idealne Pod Inwestycję
1587 Nasypowa Gdynia pomorskie Komfortowe mieszkanie w świetnej lokalizacji
1588 Nasypowa Gdynia pomorskie Kompaktowe mieszkanie w świetnej lokalizacji
1589 Nasypowa Gdynia pomorskie Kompaktowe mieszkanie w świetnej lokalizacji
1662 ul. Władysława IV 34 Sopot pomorskie Luksusowy apartament 200 m2, ogród
1694 Bohaterów Monte Cassino Sopot pomorskie Apartament w sercu Sopotu, na popularnym Monciaku
1709 Władysława Łokietka Sopot pomorskie Apartament z własnym ogródkiem blisko morza
1766 Aleja Iberyjska Gdynia pomorskie Apartament Pogórze, Gdynia
1819 al. Niepodległości Sopot pomorskie Mieszkanie, Sopot al. Niepodległości
1915 inż. J. Śmidowicza Gdańsk pomorskie piękny widok! idealne dla studenta lub na 1 mieszk
1970 Obodrzyców Sopot pomorskie Ekskluzywny apartament w Sopocie, 1500 M od morza
2145 Jana Sobieskiego Sopot pomorskie Zjawiskowe mieszkanie w pięknej kamienicy
2161 Sambora Gdynia pomorskie Gdynia , 3 pok Umeblowane, Taras, Widok Morze, Las
2175 al. Niepodległości Sopot pomorskie Mieszkanie pod inwestycję
2178 Radosna Gdynia pomorskie Przestronne 3 pokoje z ogródkiem Gdynia Karwiny
2191 Stefana Okrzei Sopot pomorskie Zamieszkaj w Kurorcie blisko morza
2194 gen. Mariusza Zaruskiego Gdynia pomorskie Przestronne 3 pokoje Gdynia Chwarzno - Wiczlino
2236 ul. Władysława IV 34 Sopot pomorskie Luksusowy apartament 200 m2, ogród
2283 Niepodległości Sopot pomorskie Gotowa Inwestycja | Kawalerka 33m2 | Sopot centrum
2312 gen. de Gaulle'a Gdańsk pomorskie Gdańsk Wrzeszcz ,lokalizacja ma znaczenie!
2327 Tadeusza Kościuszki Sopot pomorskie Rezydencja w Sopocie - dwupoziomowy apartament
2526 ul. Marii Curie-Skłodowskiej Gdynia pomorskie słoneczne, ciche mieszkanie w sąsiedztwie lasu
2553 Świemirowska Sopot pomorskie Wygodne mieszkanie w zielonej części Sopotu!
2555 Władysława Łokietka Sopot pomorskie Super inwestycja, dwa mieszkania w cenie jednego
2559 Żeliwna Gdynia pomorskie Mieszkanie z charakterem,industrialna Gdynia
2583 Armii Krajowej Sopot pomorskie Urokliwa kamienica w Górnym Sopocie, 2pokoje
2615 Nasypowa Gdynia pomorskie Mieszkanie 2 pokojowe na Oksywiu
2620 Kazimierza Wielkiego Sopot pomorskie Apartament Dolny Sopot
2671 Artura Grottgera Sopot pomorskie Sopot 2-pokojowe mieszkanie w Centrum
2672 23 Marca Sopot pomorskie 3-pokojowe mieszkanie w spokojnej dzielnicy
2684 Władysława Jagiełły Gdańsk pomorskie Mieszkanie w dobrej cenie
2685 Władysława Jagiełły Gdańsk pomorskie Interesujące 3 pokoje
2732 ul. Tatarczana Gdynia pomorskie Na sprzedaż 3 pokojowe mieszkanie 54.7 w Gdyni
2932 Hugo Kołłątaja Gdańsk pomorskie Gdańsk Wrzeszcz / fenomenalna przestrzeń
3076 Nauczycielska Gdynia pomorskie Mieszkanie na parterze. Witomino
3079 Władysława Łokietka Sopot pomorskie propozycja dla inwestora| 2 apartamenty w Sopocie
3088 Dębowa Sopot pomorskie Piękny apartament w Sopocie Dolnym!
3090 Antoniego Abrahama Sopot pomorskie Lokal Użytkowy Przekształcony Na Hostel
3103 Władysława Łokietka Sopot pomorskie Cudowny apartament blisko Morza!
3132 Oskara Kolberga Sopot pomorskie Jasne mieszkanie z widokiem na morze
3160 Alfonsa Chmielewskiego Sopot pomorskie Mieszkanie w Sopocie z możliwością adapt. strychu
3227 Książąt Pomorskich Sopot pomorskie Atrakcyjne 4-pok w Dolnym Sopocie - 500m od morza!
3273 Oskara Kolberga Sopot pomorskie Kawalerka - 20% teraz reszta w przyszłym roku!
3298 Świętojańska Gdynia pomorskie Mieszkanie po remoncie 500 metrów od plaży
3369 inż. J. Śmidowicza Gdańsk pomorskie ustawne z Tarasem blisko z widokiem na las!
3370 Podgórska Gdynia pomorskie Mieszkanie z widokiem na bazę promową Stena line
3371 Ikara Gdynia pomorskie Zadbane mieszkanie z garażem 200 metrów od plaży
3538 Stylowa Gdańsk pomorskie Przytulne mieszkanie dla rodziny
3546 Gospody Gdańsk pomorskie 3 Pokoje/ Gdańsk Żabianka/ 8Min Do Plaży
3558 Chylońska Gdynia pomorskie Nietuzinkowe 3 pokojowe mieszkanie w Gdyni
3564 Pomorska Gdańsk pomorskie Kawalerka 31m2/na 2 pok Żabianka Tylko U Nas
3576 Kłajpedzka Gdynia pomorskie Gdynia - apartament 177m w znakomitej cenie
3672 Władysława Łokietka Sopot pomorskie 4 pokojowe mieszkanie w Sopocie.
3674 Władysława Łokietka Sopot pomorskie Luksusowy apartament w Sopocie z sauną i siłownią
3709 Swarzewska Gdynia pomorskie Gdynia Chylonia 2 Pokoje, Balkon, 46M2 !
3815 ul. Władysława Łokietka 55i Sopot pomorskie Apartamenty blisko plaży - z klimatyzacją 05
3823 Aleja Iberyjska Gdynia pomorskie Apartament Pogórze, Gdynia
3858 Borowikowa Gdynia pomorskie Sprzedam Mieszkanie 3 Pok 60M2 W Gdyni -Słoneczne
3884 Stefana Okrzei Sopot pomorskie 4 pokoje w Dolnym Sopocie
3930 Mazowiecka Sopot pomorskie Piękne 2-pokojowe mieszkanie cisza i blisko centru
3936 Armii Krajowej Sopot pomorskie Inwestycyjne dwa mieszkania - 5 pokoi
3998 Bosmańska Gdynia pomorskie ostatnie mieszkania 2-pokojowe , Wyprzedaż
4002 ul. Władysława Łokietka 55i Sopot pomorskie Apartamenty blisko plaży - z klimatyzacją 08
4007 Pogodna Gdynia pomorskie Idealne mieszkanie dla pary, singla i pod wynajem.
4008 Sokoła Gdynia pomorskie Idealne Mieszkanie Dla Rodziny
4025 Bosmańska Gdynia pomorskie Słoneczne z Tarasem blisko Bałtyku
4026 Bosmańska Gdynia pomorskie Ostatnie takie mieszkanie z ogródkiem i garażem! P
4030 ul. 10 Lutego Gdynia pomorskie Mieszkanie w inwestycji Bank Polski 1929, M55
4031 ul. 10 Lutego Gdynia pomorskie Mieszkanie w inwestycji Bank Polski 1929, M49
4032 ul. 10 Lutego Gdynia pomorskie Mieszkanie w inwestycji Bank Polski 1929, M54
4033 ul. 10 Lutego Gdynia pomorskie Mieszkanie w inwestycji Bank Polski 1929, M52
4034 ul. 10 Lutego Gdynia pomorskie Mieszkanie w inwestycji Bank Polski 1929, M39
4047 ul. Bitwy pod Płowcami Sopot pomorskie Apartament nad samym morzem Sopot
4131 Tadeusza Kościuszki Sopot pomorskie Nowy apartament w willi 4 pokoje blisko plaży
4138 Mikołaja Reja Sopot pomorskie Apartament 47M2 Na Kameralnym Osiedlu, Sopot Reja
4161 Niepodległości Sopot pomorskie 75m2 pow. całkowitej, Roi na poziomie 9.5% !
4187 Władysława Łokietka Sopot pomorskie Gotowe mieszkania inwestycyjne blisko "Monciaka"
4197 23 Marca Sopot pomorskie 2 Apartamenty w Sopocie - inwestycja z super Roi
4202 Aleja Iberyjska Gdynia pomorskie Apartament Pogórze, Gdynia
4204 Bohaterów Monte Cassino Sopot pomorskie Apartament 69 m2 Sopot Monte Cassino
4218 Niepodległości Sopot pomorskie Mieszkanie inwestycyjne w centrum Sopotu
4274 Stylowa Gdańsk pomorskie Mieszkanie z ogrodem w super cenie.
4311 23 Marca Sopot pomorskie 3 pokoje + taras z widokiem na las
4327 Armii Krajowej Sopot pomorskie Apartament 3 pok widok morze Aquarius Sopot
4335 Stylowa Gdańsk pomorskie Dwupiętrowe mieszkanie w super cenie.
4396 Stylowa Gdańsk pomorskie Mieszkanie - Gdańsk Borkowo
4418 Wielkokacka Gdynia pomorskie Słoneczna kawalerka do zamieszkania od zaraz!
4499 Mikołaja Reja Sopot pomorskie Ekskluzywny apartament Sopot 47m2 2 pokoje

Jak widać, z uwagi na konwencję adresową osoby tworzącej ogłoszenie dane zostały przypisane do błędnych zmiennych. Dla błędnych rekordów zmienna miasto zostanie zasilona zmienną dzielnica oraz zmienna ulica zamieniona na zmienną miasto

In [17]:
# Skopiowanie ramki danych przed dalszymi działaniami 
df_corrected = df.copy()
wrong_rows = ~df["miasto"].isin(["Gdańsk", "Gdynia", "Sopot"])
In [18]:
# Zamiana wartości kolumn
df_corrected.loc[wrong_rows, ["ulica"]] = df_corrected.loc[wrong_rows, "miasto"]
df_corrected.loc[wrong_rows, ["miasto"]] = df_corrected.loc[wrong_rows, "dzielnica"]

# Wstawienie wartości nan dla zmiennej "dzielnica" błędnych rekordów
df_corrected.loc[wrong_rows, "dzielnica"] = np.nan

# Sprawdzenie unikalnych wartości zmiennej "miasto"
df_corrected["miasto"].value_counts()
Out[18]:
Gdańsk    2756
Gdynia    1383
Sopot      396
Name: miasto, dtype: int64
In [19]:
# Skopiowanie ramki danych przed dalszymi działaniami 
df_corrected_with_districts = df_corrected.copy()
In [20]:
# Indeksy rekordów posiadających pustą wartość dla zmiennej dzielnica i jednocześnie posiadających zmienną ulica
missing_district_index = df_corrected_with_districts["dzielnica"].isna() & ~df_corrected_with_districts["ulica"].isna()

# Zgeokoduj adres by uzyskać informacje o dzielnicy i uzupełnij dwie zmienne tymczasowe "dzielnica_temp_1", "dzielnica_temp_2"
df_corrected_with_districts["dzielnica_temp_1"] = np.nan
df_corrected_with_districts["dzielnica_temp_2"] = np.nan
In [ ]:
# Wykorzystując zmienne "miasto" i "ulica" zdekoduj lokalizację i pobierz wartości 
# odpowiadające dzielnicy/rejonowi miasta z użyciem funkcji obtain_district

district_temp = df_corrected_with_districts.loc[
    missing_district_index, ["miasto", "ulica"]].apply(obtain_district, axis=1, result_type="expand")

district_temp.columns = ["dzielnica_temp_1", "dzielnica_temp_2"]
df_corrected_with_districts.loc[missing_district_index, ["dzielnica_temp_1", "dzielnica_temp_2"]] = district_temp
In [ ]:
df_corrected_with_districts[missing_district_index]

W przypadku uzyskanych nazw dzielnic rekordy zawierają kombinację:

  1. osiedle\mniejsza część dzielnicy - dzielnica
  2. dzielnica - miasto

Zdecydowano się w przypadku wariantu 1 na wykorzystanie nazwy głównej dzielnicy - zmienna "dzielnica_temp_2". W przeciwnym przypadku brakującą zmienną "dzielnica" uzupełniono zmienną "dzielnica_temp_1".

In [ ]:
# Przygotowanie indeksów do uzupełnienia dzielnic
index_district_temp_2 = df_corrected_with_districts["dzielnica"].isna() & ~df_corrected_with_districts["ulica"].isna() & ~df_corrected_with_districts[missing_district_index]["dzielnica_temp_2"].isin(["Gdańsk", "Gdynia", "Sopot"])
index_district_temp_1 = df_corrected_with_districts["dzielnica"].isna() & ~df_corrected_with_districts["ulica"].isna() & df_corrected_with_districts[missing_district_index]["dzielnica_temp_2"].isin(["Gdańsk", "Gdynia", "Sopot"])
In [ ]:
# Uzupełnienie zmiennej dzielnice z wykorzystaniem jednej z dwóch wartości uzyskanej z geokodowania
df_corrected_with_districts.loc[index_district_temp_2, "dzielnica"] = df_corrected_with_districts.loc[index_district_temp_2, "dzielnica_temp_2"]
df_corrected_with_districts.loc[index_district_temp_1, "dzielnica"] = df_corrected_with_districts.loc[index_district_temp_1, "dzielnica_temp_1"]
In [ ]:
df_corrected_with_districts[missing_district_index]
In [ ]:
# Zapis zbioru do pliku CSV
df_corrected_with_districts.to_csv(outputs_path.joinpath("input_dataset_with_districts.csv"), encoding="windows-1250")
In [21]:
# Wczytaj rezultat z pliku CSV
df_corrected_with_districts = pd.read_csv(outputs_path.joinpath("input_dataset_with_districts.csv"), 
                                   encoding="windows-1250", 
                                   index_col=0,
                                   dtype=dtypes)

3. Pobranie danych dodatkowych

In [22]:
# Skopiowanie ramki danych przed dalszymi działaniami 
df_with_localisation = df_corrected_with_districts.copy()
In [23]:
# Usunięcie zmiennych tymczasowych "dzielnica_temp_1" oraz "dzielnica_temp_2"
df_with_localisation = df_with_localisation.drop(columns=["dzielnica_temp_1", "dzielnica_temp_2"])

W celu wizulizacji danych przestrzennych jakimi są oferty zakupu nieruchomości niezbędne jest geokodowanie adresów by uzyskać współrzędne geograficzne.

In [ ]:
# Wybór indeksów dla rekordów posiadających zmienną "miasto" i "ulica"
missing_city_street_index = ~df_corrected_with_districts["miasto"].isna() & ~df_corrected_with_districts["ulica"].isna()

# Współrzędne każdej z nieruchomości będzie pobrana wykorzystując Google API obudowane w funkcji obtain_localisation
localisation_results = df_with_localisation.loc[missing_city_street_index, ["miasto", "ulica"]].\
apply(obtain_localisation, axis=1, result_type="expand")

localisation_results.columns = ["latitude", "longitude"]
In [ ]:
# Wstawienie informacji o współrzędnych do głównej ramki danych
df_with_localisation.loc[missing_city_street_index, ["latitude", "longitude"]] = localisation_results.loc[:, ["latitude", "longitude"]]
In [ ]:
# Zapisz rezultat do pliku CSV
df_with_localisation.to_csv(outputs_path.joinpath("input_dataset_with_localisation.csv"), encoding="windows-1250")
In [24]:
# Wczytaj rezultat z pliku CSV
df_with_localisation = pd.read_csv(outputs_path.joinpath("input_dataset_with_localisation.csv"), 
                                   encoding="windows-1250", 
                                   index_col=0,
                                   dtype=dtypes)
In [25]:
# Sprawdzenie liczby rekordów dla których udało się pozyskać współrzędne
df_with_localisation["latitude"].isna().value_counts()
Out[25]:
False    3622
True      913
Name: latitude, dtype: int64
In [26]:
# Sprawdzenie brakujących wartości dla każdej ze zmiennych
df_with_localisation.isna().sum()
Out[26]:
id                       0
id_offers                0
miasto                   0
dzielnica               83
ulica                  911
tytul                    0
powierzchnia             0
cena                     0
cena_metr                0
liczba_pokoi             0
rynek                    0
zabudowa               997
pietro                  15
liczba_pieter          133
material_budynku      2773
okna                  3066
ogrzewanie            1165
rok_budowy             567
stan_wykonczenia       884
czynsz                2433
forma_wlasnosci       1056
numer_oferty             0
teren_zamkniety          0
balkon                   0
ogrodek                  0
garaz_miejsce            0
winda                    0
piwnica                  0
monitoring_ochrona       0
latitude               913
longitude              913
dtype: int64

Z uwagi na stosunkowo mały udział brakujących wartości dla zmiennej dzielnica, pietro i liczba_pieter zdecydowano się na usunięcie danych rekordów.

Z uwagi na znaczny udział braku danych - ponad 50 % rekordów - zdecydowano się na odrzucenie zmiennych material_budynku, okna oraz czynsz.

In [27]:
# Skopiowanie ramki danych przed dalszymi działaniami 
df_with_localisation_cleaned = df_with_localisation.copy()

# Wybór indeksów rekordów zawierających puste wartości dla zmiennych "dzielnica", "pietro", "liczba_pieter" 
# oraz usunięcie rekordów które zawierają puste wartości dla tych zmiennych
missing_pietro_liczba_pieter_index = df_with_localisation_cleaned["dzielnica"].isna() \
| df_with_localisation_cleaned["pietro"].isna() | \
df_with_localisation_cleaned["liczba_pieter"].isna()
df_with_localisation_cleaned = df_with_localisation_cleaned[~missing_pietro_liczba_pieter_index]

# Usunięcie zmiennych "material_budynku", "okna", "czynsz"
df_with_localisation_cleaned = df_with_localisation_cleaned.drop(columns=["material_budynku", "okna", "czynsz"], axis=1)
In [28]:
# Liczba brakujących wartości dla poszczególnych zmiennych
df_with_localisation_cleaned.isna().sum()
Out[28]:
id                       0
id_offers                0
miasto                   0
dzielnica                0
ulica                  803
tytul                    0
powierzchnia             0
cena                     0
cena_metr                0
liczba_pokoi             0
rynek                    0
zabudowa               954
pietro                   0
liczba_pieter            0
ogrzewanie            1088
rok_budowy             492
stan_wykonczenia       820
forma_wlasnosci        984
numer_oferty             0
teren_zamkniety          0
balkon                   0
ogrodek                  0
garaz_miejsce            0
winda                    0
piwnica                  0
monitoring_ochrona       0
latitude               805
longitude              805
dtype: int64

W kontekście lokalizacji nieruchomości istotny jest czas dojazdu do określonych punktów. Jako cel codziennych podróży wybrano kompleks Olivia Business Centre. Korzystając z Google API w funkcjach obtain_travel_info_driving i obtain_travel_info_transit zdecydowano się na sprawdzenie czasu dojazdu oraz dystansu dla podróży w poniedziałek z przybyciem do miejsca docelowego o godzinie 8.

Wartości sprawdzono zarówno dla podróży samochodem osobowym jak i transportem zbiorowym.

In [ ]:
# Pobranie danych o czasie podróży i dystansie do tymczasowej ramki danych travel_info_results_driving
travel_info_result_driving = df_with_localisation_cleaned.loc[:, ["miasto", "dzielnica", "ulica"]].apply(obtain_travel_info_driving, axis=1, result_type="expand")
travel_info_results_driving.columns = ["czas_auto", "dystans_auto"]
In [ ]:
# Pobranie danych o czasie podróży i dystansie do tymczasowej ramki danych travel_info_results_transit
travel_info_result_transit = df_with_localisation_cleaned.loc[:, ["miasto", "dzielnica", "ulica"]].apply(obtain_travel_info_transit, axis=1, result_type="expand")
travel_info_results_transit.columns = ["czas_zbiorowy", "dystans_zbiorowy"]
In [ ]:
# Zasilenie głównej ramki danych nowo utworzonymi zmiennymi 
df_with_localisation_cleaned.loc[:, ["czas_auto", "dystans_auto"]] = travel_info_results.loc[:, ["czas_auto", "dystans_auto"]]

df_with_localisation_cleaned.loc[:, ["czas_zbiorowy", "dystans_zbiorowy"]] = travel_info_results.loc[:, [
    "czas_zbiorowy", "dystans_zbiorowy"]]
In [29]:
# Wyświetlenie podglądu ramki danych 
df_with_localisation_cleaned.head()
Out[29]:
id id_offers miasto dzielnica ulica tytul powierzchnia cena cena_metr liczba_pokoi rynek zabudowa pietro liczba_pieter ogrzewanie rok_budowy stan_wykonczenia forma_wlasnosci numer_oferty teren_zamkniety balkon ogrodek garaz_miejsce winda piwnica monitoring_ochrona latitude longitude
0 1 1 Gdańsk Osowa ul. Homera Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem 41.750 309000 7401.000 3 pierwotny blok parter 2.000 miejskie 2020.000 do_wykonczenia pelna_wlasnosc 60942989 0 0 1 0 1 0 0 54.419 18.485
1 2 2 Gdańsk Ujeścisko-Łostowice ul. Świętokrzyska Idealne, nowe mieszkanie 2 pokojowe 46.600 415000 8906.000 2 wtorny blok 2 2.000 miejskie 2018.000 do_zamieszkania pelna_wlasnosc 60831045 0 1 0 0 1 1 1 54.319 18.591
2 3 3 Gdańsk Śródmieście Wałowa 2 pokoje w centrum Gdańska w niskiej cenie 33.800 313000 9260.000 2 pierwotny apartamentowiec 4 5.000 miejskie 2020.000 do_wykonczenia pelna_wlasnosc 60933557 0 0 0 0 1 0 1 54.358 18.655
3 4 4 Gdynia Dąbrowa Sojowa Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks 42.000 249000 5929.000 2 wtorny blok 3 3.000 miejskie 1994.000 do_zamieszkania pelna_wlasnosc 60783576 0 0 0 0 0 0 0 54.471 18.470
4 5 5 Gdynia Dąbrowa NaN Kameralne bezpieczne w zieleni garaż 30m2 kominek 132.000 1120000 8485.000 4 wtorny apartamentowiec 1 2.000 gazowe 2018.000 do_zamieszkania pelna_wlasnosc 60949737 1 0 0 0 0 1 1 nan nan

Sprawdzenie wartości unikalnych dla dzielnic każdego z miast.

In [30]:
sorted(df_with_localisation_cleaned[df_with_localisation_cleaned["miasto"] == "Gdańsk"]["dzielnica"].unique())
Out[30]:
['Aniołki',
 'Biskupia Górka',
 'Brzeźno',
 'Brętowo',
 'Chełm',
 'Jasień',
 'Jelitkowo',
 'Karczemki',
 'Kiełpinek',
 'Kiełpino Górne',
 'Kokoszki',
 'Kowale',
 'Krakowiec-Górki Zachodnie',
 'Letnica',
 'Matarnia',
 'Nowe Ujeścisko',
 'Nowy Port',
 'Oliwa',
 'Olszynka',
 'Orunia Górna-Gdańsk Południe',
 'Orunia-Św. Wojciech-Lipce',
 'Osowa',
 'Piecki-Migowo',
 'Przeróbka',
 'Przymorze',
 'Rudniki',
 'Siedlce',
 'Stogi',
 'Suchanino',
 'Ujeścisko-Łostowice',
 'Wrzeszcz',
 'Wrzeszcz Górny',
 'Wyspa Sobieszewska',
 'Zaspa',
 'Zaspa-Młyniec',
 'Śródmieście',
 'Żabianka',
 'Żabianka-Wejhera-Jelitkowo-Tysiąclecia']

Analizując unikalne wartości dzielnic Gdańska zdecydowano się na ujednolicenie nazw dla następujących dzielnic:

  • Żabianka i Żabianka-Wejhera-Jelitkowo-Tysiąclecia - na Żabianka
  • Wrzeszcz i Wrzeszcz Górny - na Wrzeszcz
  • Zaspa i Zaspa-Młyniec - na Zaspa
  • Nowe Ujeścisko na Wzgórze Mickiewicza
In [31]:
sorted(df_with_localisation_cleaned[df_with_localisation_cleaned["miasto"] == "Gdynia"]["dzielnica"].unique())
Out[31]:
['Babie Doły',
 'Chwarzno-Wiczlino',
 'Chylonia',
 'Cisowa',
 'Działki Leśne',
 'Dąbrowa',
 'Grabówek',
 'Kamienna Góra',
 'Karwiny',
 'Leszczynki',
 'Mały Kack',
 'Obłuże',
 'Oksywie',
 'Orłowo',
 'Pogórze',
 'Pustki Cisowskie',
 'Pustki Cisowskie-Demptowo',
 'Redłowo',
 'Wielki Kack',
 'Witomino',
 'Witomino-Leśniczówka',
 'Wzgórze Św. Maksymiliana',
 'Wzgórze Świętego Maksymiliana',
 'Śródmieście']

Analizując unikalne wartości dzielnic Gdyni zdecydowano się na ujednolicenie nazw dla następujących dzielnic:

  • Witomino i Witomino - Leśniczówka na Witomino
  • Wzgórze Św. Maksymiliana i Wzgórze Świętego Maksymiliana na Wzgórze Św. Maksymiliana
In [32]:
sorted(df_with_localisation_cleaned[df_with_localisation_cleaned["miasto"] == "Sopot"]["dzielnica"].unique())
Out[32]:
['Brodwino',
 'Centrum',
 'Dolny',
 'Górny',
 'Kamienny Potok',
 'Karlikowo',
 'Oliwa',
 'Osiedle Mickiewicza',
 'Przylesie',
 'Sopot Dolny',
 'Wyścigi',
 'województwo pomorskie',
 'Świemirowo']

Analizując unikalne wartości dzielnic Sopotu zdecydowano się na ujednolicenie nazw dla następujących dzielnic:

  • Górny i Osiedle Mickiewicza na Górny

Dodatkowo okazło się, że występują wartości "województwo pomorskie"

In [33]:
df_with_localisation_cleaned[df_with_localisation_cleaned["dzielnica"] == "województwo pomorskie"]
Out[33]:
id id_offers miasto dzielnica ulica tytul powierzchnia cena cena_metr liczba_pokoi rynek zabudowa pietro liczba_pieter ogrzewanie rok_budowy stan_wykonczenia forma_wlasnosci numer_oferty teren_zamkniety balkon ogrodek garaz_miejsce winda piwnica monitoring_ochrona latitude longitude
1708 1709 2048 Sopot województwo pomorskie Władysława Łokietka Apartament z własnym ogródkiem blisko morza 71.500 1150000 16084.000 4 wtorny NaN parter 3.000 NaN 2012.000 do_zamieszkania pelna_wlasnosc 60842868 0 0 0 0 0 0 0 54.430 18.574
2554 2555 3038 Sopot województwo pomorskie Władysława Łokietka Super inwestycja, dwa mieszkania w cenie jednego 71.500 1150000 16084.000 4 wtorny apartamentowiec parter 3.000 NaN 2012.000 NaN NaN 60888519 1 0 1 0 0 0 1 54.430 18.574
3078 3079 3637 Sopot województwo pomorskie Władysława Łokietka propozycja dla inwestora| 2 apartamenty w Sopocie 71.100 1370000 19269.000 2 wtorny apartamentowiec parter 3.000 miejskie 2013.000 do_zamieszkania pelna_wlasnosc 59321471 1 1 1 0 1 0 1 54.430 18.574
3102 3103 3664 Sopot województwo pomorskie Władysława Łokietka Cudowny apartament blisko Morza! 101.700 1439000 14149.000 3 wtorny apartamentowiec 3 3.000 miejskie 2012.000 do_zamieszkania pelna_wlasnosc 60168970 0 1 0 0 1 0 1 54.430 18.574
3671 3672 4035 Sopot województwo pomorskie Władysława Łokietka 4 pokojowe mieszkanie w Sopocie. 95.620 1160000 12131.000 4 wtorny NaN 1 2.000 NaN 2004.000 do_zamieszkania pelna_wlasnosc 60739230 0 1 0 0 0 0 0 54.430 18.574
3673 3674 4037 Sopot województwo pomorskie Władysława Łokietka Luksusowy apartament w Sopocie z sauną i siłownią 77.000 1390000 18052.000 3 wtorny apartamentowiec 1 3.000 miejskie 2007.000 do_zamieszkania pelna_wlasnosc 60110487 1 1 0 0 1 0 1 54.430 18.574
4186 4187 4584 Sopot województwo pomorskie Władysława Łokietka Gotowe mieszkania inwestycyjne blisko "Monciaka" 72.000 1150000 15972.000 4 wtorny apartamentowiec parter 4.000 miejskie 2011.000 do_zamieszkania pelna_wlasnosc 60783133 1 0 1 0 1 0 1 54.430 18.574

Wyfiltrowane rekordy odpowiadają dzielnicy Karlikowo, która zostanie do nich przyporządkowana.

In [34]:
# Zamiana wspomnianych wyżej nazw dzielnic 
district_names_mapping = {"Żabianka-Wejhera-Jelitkowo-Tysiąclecia": "Żabianka",
                          "Wrzeszcz Górny": "Wrzeszcz",
                          "Witomino-Leśniczówka": "Witomino",
                          "Wzgórze Świętego Maksymiliana": "Wzgórze Św. Maksymiliana",
                          "Osiedle Mickiewicza": "Górny",
                          "województwo pomorskie": "Karlikowo",
                          "Nowe Ujeścisko": "Wzgórze Mickiewicza",
                          "Zaspa-Młyniec": "Zaspa",
                          "Pustki Cisowskie-Demptowo": "Pustki Cisowskie"
                         }

df_with_localisation_cleaned["dzielnica"] = df_with_localisation_cleaned["dzielnica"].map(district_names_mapping).\
fillna(df_with_localisation_cleaned["dzielnica"])
In [ ]:
# Zapisz rezultat do pliku CSV
df_with_localisation_cleaned.to_csv(outputs_path.joinpath("input_dataset_with_localisation_cleaned.csv"), 
                                    encoding="windows-1250")
In [35]:
# Wczytaj rezultat z pliku CSV
df_with_localisation_cleaned = pd.read_csv(outputs_path.joinpath("input_dataset_with_localisation_cleaned.csv"), 
                                           encoding="windows-1250", 
                                           index_col=0)

4. EDA

In [36]:
# Wyświetl podstawowe informacje o zbiorze
df_with_localisation_cleaned.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 4315 entries, 0 to 4534
Data columns (total 32 columns):
 #   Column              Non-Null Count  Dtype  
---  ------              --------------  -----  
 0   id                  4315 non-null   int64  
 1   id_offers           4315 non-null   int64  
 2   miasto              4315 non-null   object 
 3   dzielnica           4315 non-null   object 
 4   ulica               3514 non-null   object 
 5   tytul               4315 non-null   object 
 6   powierzchnia        4315 non-null   float64
 7   cena                4315 non-null   int64  
 8   cena_metr           4315 non-null   float64
 9   liczba_pokoi        4315 non-null   int64  
 10  rynek               4315 non-null   object 
 11  zabudowa            3361 non-null   object 
 12  pietro              4315 non-null   object 
 13  liczba_pieter       4315 non-null   float64
 14  ogrzewanie          3227 non-null   object 
 15  rok_budowy          3823 non-null   float64
 16  stan_wykonczenia    3495 non-null   object 
 17  forma_wlasnosci     3332 non-null   object 
 18  numer_oferty        4315 non-null   int64  
 19  teren_zamkniety     4315 non-null   int64  
 20  balkon              4315 non-null   int64  
 21  ogrodek             4315 non-null   int64  
 22  garaz_miejsce       4315 non-null   int64  
 23  winda               4315 non-null   int64  
 24  piwnica             4315 non-null   int64  
 25  monitoring_ochrona  4315 non-null   int64  
 26  latitude            3512 non-null   float64
 27  longitude           3512 non-null   float64
 28  czas_auto           4315 non-null   float64
 29  dystans_auto        4315 non-null   float64
 30  czas_zbiorowy       4291 non-null   float64
 31  dystans_zbiorowy    4291 non-null   float64
dtypes: float64(10), int64(12), object(10)
memory usage: 1.1+ MB
In [37]:
variable_name = "liczba_pokoi"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Liczba pokoi")
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej liczba_pokoi: 0

Jak można zauważyć, najpopularniejszym układem oferowanych nieruchomości są te 2 i 3 pokojowe.

In [38]:
variable_name = "rynek"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Typ rynku")
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej rynek: 0

Zdecydowana większość ofert dotyczy nieruchomości z rynku wtórnego.

In [39]:
variable_name = "zabudowa"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Typ zabudowy")
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej zabudowa: 954

Najpopularniejszym typem zabudowy wśród ofert są nieruchomości będące częścią bloku mieszkalnego i apartamentowca. Nieruchomości stanowiące niezależne budynki stanowią jedynie odsetek. Dla zmiennej "zabudowa" występuje ponad 900 brakujących wartości.

In [40]:
variable_name = "pietro"
categories_orders_dict = {"index": ["parter", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", ">_10", "suterena", "poddasze"]}
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Piętro", categories=True,category_orders=categories_orders_dict)

fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej pietro: 0

Najczęstszymi typami nieruchomości są te znajdujące się na piętrach 0 - 3, przy czym nieruchomości na pierwszym piętrze występują najczęściej. Wraz ze wzrostem piętra, na jakim znajduje się nieruchomość, maleje liczba ofert.

In [41]:
variable_name = "liczba_pieter"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Liczba pięter")
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej liczba_pieter: 0

Zdecydowanie najczęściej występującym typem budynków są budynki 3 i 4 piętrowe. Wyróżniają się również budynki 2 piętrowe (przypuszczalnie kamienice) oraz 10 piętrowe (np. zabudowa wielomieszkalna na Przymorzu)

In [42]:
variable_name = "ogrzewanie"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Typ zabudowy")
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej ogrzewanie: 1088

Najczęstszym typem centralnego ogrzewania jest ogrzewanie miejskie. Dla zmiennej ogrzewanie występuje aż 1088 brakujących wartości.

In [43]:
variable_name = "rok_budowy"
min_value = int(df_with_localisation_cleaned[variable_name].min())
max_value = int(df_with_localisation_cleaned[variable_name].max()) + 1
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Rok budowy", categories=True, category_orders={"index": list(range(min_value, max_value))})
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej rok_budowy: 492

Analziując rok budowy nieruchomości można wyróżnić 3 grupy:

  • budynki zabytkowe zbudowane przed 1950 rokiem
  • budynki zbudowane w okresie PRL tzw. wielka płyta - lata 60 - 80
  • budynki zbudowane po roku 2000 - z największą ilością ofert dla roku budowy 2020

Blisko 400 ofert dotyczy budynków, które są dopiero w budowie - rok budowy późniejszy niż 2020.

Dla 492 rekordów wsytępuje brak wartości dla zmiennej "rok_budowy".

In [44]:
variable_name = "stan_wykonczenia"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Stan wykończenia")
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej stan_wykonczenia: 820

Najwięcej ofert dotyczy nieruchomości gotowych do zamieszkania. Grupa "do_wykończenia" może dotyczyć głównie nieruchomości z rynku pierwotnego. Dla zmiennej "stan_wyknonczenia" wykryto 820 brakujących wartości

In [45]:
variable_name = "forma_wlasnosci"
fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label="Forma własności")
fig.show()

print(f"Ilość pustych wartości dla zmiennej {variable_name}: {df_with_localisation_cleaned[variable_name].isna().sum()}")
Ilość pustych wartości dla zmiennej forma_wlasnosci: 983
In [46]:
for feature in ["teren_zamkniety",
                "balkon", 
                "ogrodek", 
                "garaz_miejsce",
                "winda",
                "piwnica",
                "monitoring_ochrona"]:
    variable_name = feature
    fig = create_bar_plot(df=df_with_localisation_cleaned, variable_name=variable_name, variable_label=feature.capitalize())
    fig.show()

Zmienne kategoryczne:

  • zdedydowana większość nieruchomości dotyczy nieruchomości nie będących częścią zamkniętego osiedla
  • nieruchmości posiadające balkon stanowią 60 %
  • blisko 500 nieruchomości posiada dostęp do ogródka
  • żadna z ofert nie zawierała informacji o dostępie do garażu / miejsca postojowego - być może jest to wynikiem błędu w procesie pobierania danych ze strony
  • ponad 60 % nieruchomości nie znajduje się w budynku, który jest wyposażony w windę
  • występowanie informacji o przynależności piwnicy stanowi 50 % ogłoszeń
  • blisko 25 % nieruchomości nie posiada monitoringu czy ochrony
In [47]:
for feature in ["powierzchnia", "cena", "cena_metr", "czas_auto", "czas_zbiorowy", "dystans_auto", "dystans_zbiorowy"]:
    fig = plt.figure(figsize=(16,8))
    sns.histplot(data=df_with_localisation_cleaned, x=feature)
    plt.plot()
    fig = plt.figure(figsize=(16,8))
    sns.boxplot(data=df_with_localisation_cleaned, y=feature)
    plt.plot()

Dzięki wykresom boxplot można zauważyć obserwacje odstające w skali całego zbioru. Są to nieruchomości o powierzchni powyżej 120 metrów kwadratowych i cenie za metr 20000. Analizując wykres boxplot oraz histogram dla zmiennej cena, można zauważyć kilka bardzo wysokich ofert - w tym oferta z ceną 16 milionów złotych.

In [48]:
for category in ["rynek", "ogrzewanie", "winda", "balkon", "ogrodek", "piwnica", "monitoring_ochrona", "stan_wykonczenia", "teren_zamkniety"]:
    fig = plt.figure(figsize=(16,8))
    sns.boxplot(y=df_with_localisation_cleaned["cena_metr"], x=df_with_localisation_cleaned[category])
    plt.plot()

Po wykresach pudełkowych wskazujących wartość zmiennej celu cena_metr oraz rozdział na kategorie:

  • średnia cena za metr jest wyższa dla nieruchomości z rynku wtórnego
  • mimo różnego typu ogrzewania - średnia cena za metr oscyluje wokół tej samej wartości - ok 9000 zł.
  • średnia cena za metr jest wyższa dla nieruchomości posiadających informację o dostępie do windy
  • minimalnie niższą cenę za metr posiadają nieruchomości bez balkonu
  • nieruchomości, w których ofercie wspomniano o monitoringu/ochronie mają wyższą cenę za cena_metr
  • najwyższą średnią cenę za metr posiadają nieruchomości gotowe do zamieszkania. Najniższą średnią cenę za cena_metr wykazują nieruchomości przeznaczone do remontu.
  • zdecydowanie wyższą średnią cenę za metr posiadają nieruchomości, w których ofercie poinformowano o terenie zamkniętym.
In [49]:
fig = go.Figure(ff.create_hexbin_mapbox(
    data_frame=df_with_localisation_cleaned, lat="latitude", lon="longitude",
    nx_hexagon=25, opacity=0.8, zoom=9.4,
    labels={"color": "Średnia cena za metr"},
    color="cena_metr", agg_func=np.mean, color_continuous_scale="Teal",
    show_original_data=True,
    original_data_marker=dict(size=4, opacity=0.7, color="black")
))
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})

Najwyższa cena za metr występuje w rejonach stanowiących centrum miast Gdańsk, Gdynia, Sopot. Wyższa cena za metr wiąże się równiez z położeniem w pasie nadmorskim.

In [50]:
fig = go.Figure(ff.create_hexbin_mapbox(
    data_frame=df_with_localisation_cleaned, lat="latitude", lon="longitude",
    nx_hexagon=25, opacity=0.8, zoom=9.4,
    labels={"color": "Czas dojazdu do OBC - transport prywatny [s]"},
    color="czas_auto", agg_func=np.mean, color_continuous_scale="Reds"
))
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})

Czas dojazdu do kompleksu biurowego Olivia Business Centre najkorzystniej prezentuje się dla dzielnic przylegających do dzielnicy Przymorze - ok 10-12 min.

Czas przejazdu z południowych dzielnic miasta jest porównywalny do czasu dojazdu z wybranych dzielnic Gdyni.

In [51]:
fig = go.Figure(ff.create_hexbin_mapbox(
    data_frame=df_with_localisation_cleaned, lat="latitude", lon="longitude",
    nx_hexagon=25, opacity=0.8, zoom=9.4,
    labels={"color": "Czas dojazdu do OBC - transport zbiorowy [s]"},
    color="czas_zbiorowy", agg_func=np.mean, color_continuous_scale="Reds"
))
fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})

Porównując czas dojazdu samochodem z czasem dojazdu korzystając z transportu zbiorowego można zauważyć problem dostępności południowych dzielnic Gdańska oraz Wyspy Sobieszewskiej.

In [52]:
fig = go.Figure(px.scatter_mapbox(df_with_localisation_cleaned, 
                                  lat="latitude", 
                                  lon="longitude",     
                                  color="cena_metr", 
                                  size="powierzchnia",
                                  opacity=1,
                                  color_continuous_scale="Reds", 
                                  size_max=15, 
                                  zoom=9.4,
                                  labels={"cena_metr": "Średnia cena za metr", "powierzchnia": "Powierzchnia"}))

fig.update_layout(mapbox_style="stamen-terrain", mapbox_center_lon=18.555, mapbox_center_lat=54.441)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})

Najdroższą nieruchomością (cena za metr) jest nieruchomosć przy ulicy Orłowskiej w Gdyni, natomiast największą powierzchnię, jednocześnie z bardzo wysoką ceną za metr, charakteryzuje się nieruchomość w Śródmieściu Gdyni, w pobliżu Skweru Kościuszki.

In [53]:
# Wyświetlenie podglądu ramki danych
df_with_localisation_cleaned.head()
Out[53]:
id id_offers miasto dzielnica ulica tytul powierzchnia cena cena_metr liczba_pokoi rynek zabudowa pietro liczba_pieter ogrzewanie rok_budowy stan_wykonczenia forma_wlasnosci numer_oferty teren_zamkniety balkon ogrodek garaz_miejsce winda piwnica monitoring_ochrona latitude longitude czas_auto dystans_auto czas_zbiorowy dystans_zbiorowy
0 1 1 Gdańsk Osowa ul. Homera Wygodne mieszkanie 3-pokojowe (41,75 m2) z ogrodem 41.750 309000 7401.000 3 pierwotny blok parter 2.000 miejskie 2020.000 do_wykonczenia pelna_wlasnosc 60942989 0 0 1 0 1 0 0 54.419 18.485 1036.000 10084.000 2414.000 11258.000
1 2 2 Gdańsk Ujeścisko-Łostowice ul. Świętokrzyska Idealne, nowe mieszkanie 2 pokojowe 46.600 415000 8906.000 2 wtorny blok 2 2.000 miejskie 2018.000 do_zamieszkania pelna_wlasnosc 60831045 0 1 0 0 1 1 1 54.319 18.591 1553.000 12878.000 3685.000 16072.000
2 3 3 Gdańsk Śródmieście Wałowa 2 pokoje w centrum Gdańska w niskiej cenie 33.800 313000 9260.000 2 pierwotny apartamentowiec 4 5.000 miejskie 2020.000 do_wykonczenia pelna_wlasnosc 60933557 0 0 0 0 1 0 1 54.358 18.655 929.000 8580.000 2354.000 8878.000
3 4 4 Gdynia Dąbrowa Sojowa Gdynia Dąbrowa Idealna Lokalizacja 2 pokoje, aneks 42.000 249000 5929.000 2 wtorny blok 3 3.000 miejskie 1994.000 do_zamieszkania pelna_wlasnosc 60783576 0 0 0 0 0 0 0 54.471 18.470 1430.000 13809.000 2837.000 17852.000
4 5 5 Gdynia Dąbrowa NaN Kameralne bezpieczne w zieleni garaż 30m2 kominek 132.000 1120000 8485.000 4 wtorny apartamentowiec 1 2.000 gazowe 2018.000 do_zamieszkania pelna_wlasnosc 60949737 1 0 0 0 0 1 1 nan nan 1524.000 14737.000 1602.000 14053.000

5. Tworzenie i transformacja zmiennych

In [54]:
# Wskazanie kolumn, które nie będą wykorzystane podczas modelowania
columns_not_for_modelling = ["id", "id_offers", 
                             "ulica", "tytul", 
                             "latitude", "longitude", 
                             "cena", "numer_oferty", 
                             "garaz_miejsce"]

df_for_modelling = df_with_localisation_cleaned.drop(columns = columns_not_for_modelling, axis=1).copy()
In [55]:
# Podgląd ramki danych
df_for_modelling.head()
Out[55]:
miasto dzielnica powierzchnia cena_metr liczba_pokoi rynek zabudowa pietro liczba_pieter ogrzewanie rok_budowy stan_wykonczenia forma_wlasnosci teren_zamkniety balkon ogrodek winda piwnica monitoring_ochrona czas_auto dystans_auto czas_zbiorowy dystans_zbiorowy
0 Gdańsk Osowa 41.750 7401.000 3 pierwotny blok parter 2.000 miejskie 2020.000 do_wykonczenia pelna_wlasnosc 0 0 1 1 0 0 1036.000 10084.000 2414.000 11258.000
1 Gdańsk Ujeścisko-Łostowice 46.600 8906.000 2 wtorny blok 2 2.000 miejskie 2018.000 do_zamieszkania pelna_wlasnosc 0 1 0 1 1 1 1553.000 12878.000 3685.000 16072.000
2 Gdańsk Śródmieście 33.800 9260.000 2 pierwotny apartamentowiec 4 5.000 miejskie 2020.000 do_wykonczenia pelna_wlasnosc 0 0 0 1 0 1 929.000 8580.000 2354.000 8878.000
3 Gdynia Dąbrowa 42.000 5929.000 2 wtorny blok 3 3.000 miejskie 1994.000 do_zamieszkania pelna_wlasnosc 0 0 0 0 0 0 1430.000 13809.000 2837.000 17852.000
4 Gdynia Dąbrowa 132.000 8485.000 4 wtorny apartamentowiec 1 2.000 gazowe 2018.000 do_zamieszkania pelna_wlasnosc 1 0 0 0 1 1 1524.000 14737.000 1602.000 14053.000
In [56]:
# Wyświetlenie podstawowych informacji o zbiorze
df_for_modelling.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 4315 entries, 0 to 4534
Data columns (total 23 columns):
 #   Column              Non-Null Count  Dtype  
---  ------              --------------  -----  
 0   miasto              4315 non-null   object 
 1   dzielnica           4315 non-null   object 
 2   powierzchnia        4315 non-null   float64
 3   cena_metr           4315 non-null   float64
 4   liczba_pokoi        4315 non-null   int64  
 5   rynek               4315 non-null   object 
 6   zabudowa            3361 non-null   object 
 7   pietro              4315 non-null   object 
 8   liczba_pieter       4315 non-null   float64
 9   ogrzewanie          3227 non-null   object 
 10  rok_budowy          3823 non-null   float64
 11  stan_wykonczenia    3495 non-null   object 
 12  forma_wlasnosci     3332 non-null   object 
 13  teren_zamkniety     4315 non-null   int64  
 14  balkon              4315 non-null   int64  
 15  ogrodek             4315 non-null   int64  
 16  winda               4315 non-null   int64  
 17  piwnica             4315 non-null   int64  
 18  monitoring_ochrona  4315 non-null   int64  
 19  czas_auto           4315 non-null   float64
 20  dystans_auto        4315 non-null   float64
 21  czas_zbiorowy       4291 non-null   float64
 22  dystans_zbiorowy    4291 non-null   float64
dtypes: float64(8), int64(7), object(8)
memory usage: 969.1+ KB

Z uwagi na dużą liczbę brakujących danych przy jednocześnie małej wariancji wartości zmiennych zabudowa, ogrzewanie oraz forma_wlasnosci zecydowano się je usunąć ze zbioru.

Dla zmiennych rok_budowy, stan_wykonczenia oraz czas_zbiorowy zecydowano się usunąć rekordy zawierające brakujące dane

In [57]:
# Odrzucenie zmiennych z dużą ilością brakujących wartości
df_for_modelling = df_for_modelling.drop(columns=["zabudowa", "ogrzewanie", "forma_wlasnosci"], axis=1)

# Wybór indeksów dla obserwacji, które posiaają braki danych dla wybranych zmiennych
missing_data_index = ~df_for_modelling["rok_budowy"].isna() & ~df_for_modelling["stan_wykonczenia"].isna() & \
~df_for_modelling["czas_zbiorowy"].isna()

# Usunięcie rekordów z pustymi wartościami 
df_for_modelling = df_for_modelling[missing_data_index]
In [58]:
# Wyświetlenie podstawowych informacji o zbiorze
df_for_modelling.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 3151 entries, 0 to 4534
Data columns (total 20 columns):
 #   Column              Non-Null Count  Dtype  
---  ------              --------------  -----  
 0   miasto              3151 non-null   object 
 1   dzielnica           3151 non-null   object 
 2   powierzchnia        3151 non-null   float64
 3   cena_metr           3151 non-null   float64
 4   liczba_pokoi        3151 non-null   int64  
 5   rynek               3151 non-null   object 
 6   pietro              3151 non-null   object 
 7   liczba_pieter       3151 non-null   float64
 8   rok_budowy          3151 non-null   float64
 9   stan_wykonczenia    3151 non-null   object 
 10  teren_zamkniety     3151 non-null   int64  
 11  balkon              3151 non-null   int64  
 12  ogrodek             3151 non-null   int64  
 13  winda               3151 non-null   int64  
 14  piwnica             3151 non-null   int64  
 15  monitoring_ochrona  3151 non-null   int64  
 16  czas_auto           3151 non-null   float64
 17  dystans_auto        3151 non-null   float64
 18  czas_zbiorowy       3151 non-null   float64
 19  dystans_zbiorowy    3151 non-null   float64
dtypes: float64(8), int64(7), object(5)
memory usage: 517.0+ KB
In [59]:
# Tworzenie zmiennej wiek budynku - różnica między bieżącym rokiem a rokiem budowy, 
# dla budynków w budowie oraz budynków tegorocznych wartość wynosi 0

def calculate_building_age(built_year):
    year = datetime.datetime.now().year
    if built_year > year:
        built_year = year
    return year - built_year

df_for_modelling["wiek_budynku"] = df_for_modelling["rok_budowy"].apply(calculate_building_age)

# Tworzennie zmiennej binarnej "w_budowie" dla daty budowy 2021 i później
df_for_modelling["w_budowie"] = df_for_modelling["rok_budowy"].apply(lambda x: 1 if (x > datetime.datetime.now().year) else 0)

# Usunięcie zmiennej źródłowej - rok_budowy
df_for_modelling = df_for_modelling.drop(columns="rok_budowy", axis=1)
In [60]:
# Tworzenie nowej zmiennej - dzielnica nadmorska na bazie nazw dzielnic sąsiadujących z pasem nadmorskim

districts_at_see = ['Brzeźno', 'Jelitkowo', 'Krakowiec-Górki Zachodnie', 'Przymorze', 'Stogi', 'Wyspa Sobieszewska', 
                    'Babie Doły', 'Orłowo', 'Redłowo', 'Wzgórze Św. Maksymiliana', 'Śródmieście', 'Kamienna Góra', 'Oksywie',
                    'Karlikowo', 'Kamienny Pototok', 'Centrum', 'Dolny']

df_for_modelling["nad_morzem"] = df_for_modelling["dzielnica"].apply(lambda x: 1 if x in districts_at_see else 0)
df_for_modelling = df_for_modelling.drop(columns=["dzielnica"], axis=1)
In [61]:
# Enkodowanie zmiennej miasto oraz rynek z użyciem One Hot Encoder oraz usunięcie zmiennej oryginalnej
df_for_modelling = df_for_modelling.join(pd.get_dummies(df_for_modelling["miasto"]))

df_for_modelling = df_for_modelling.join(pd.get_dummies(df_for_modelling["rynek"], prefix="rynek"))
df_for_modelling = df_for_modelling.drop(columns="rynek_wtorny", axis=1)

df_for_modelling = df_for_modelling.join(pd.get_dummies(df_for_modelling["stan_wykonczenia"]))

df_for_modelling = df_for_modelling.drop(columns=["rynek", "miasto", "stan_wykonczenia"], axis=1)
In [62]:
# Zamiana wartości pietro na zmienną liczbową
dict_pietro = {"parter": 0, "suterena": 0, ">_10": 15}

df_for_modelling["pietro"] = df_for_modelling["pietro"].map(dict_pietro).fillna(df_for_modelling["pietro"])

index_poddasze = df_for_modelling["pietro"] == "poddasze"

df_for_modelling.loc[index_poddasze, "pietro"] = df_for_modelling.loc[
    index_poddasze, "liczba_pieter"].apply(lambda liczba_pieter: liczba_pieter if liczba_pieter <= 10 else 15)

df_for_modelling["pietro"] = pd.to_numeric(df_for_modelling["pietro"]).astype("int8")
In [63]:
# Wyświetlenie wariancji dla zmiennych
df_for_modelling.var()
Out[63]:
powierzchnia              834.058
cena_metr            16490475.046
liczba_pokoi                1.009
pietro                      6.464
liczba_pieter              10.145
teren_zamkniety             0.148
balkon                      0.236
ogrodek                     0.121
winda                       0.247
piwnica                     0.248
monitoring_ochrona          0.187
czas_auto              182490.229
dystans_auto         37912368.261
czas_zbiorowy          844697.807
dystans_zbiorowy     31274729.947
wiek_budynku             1054.070
w_budowie                   0.060
nad_morzem                  0.230
Gdańsk                      0.237
Gdynia                      0.213
Sopot                       0.074
rynek_pierwotny             0.141
do_remontu                  0.088
do_wykonczenia              0.167
do_zamieszkania             0.214
dtype: float64
In [64]:
# Wyświetlenie podglądu ramki danych
df_for_modelling.head()
Out[64]:
powierzchnia cena_metr liczba_pokoi pietro liczba_pieter teren_zamkniety balkon ogrodek winda piwnica monitoring_ochrona czas_auto dystans_auto czas_zbiorowy dystans_zbiorowy wiek_budynku w_budowie nad_morzem Gdańsk Gdynia Sopot rynek_pierwotny do_remontu do_wykonczenia do_zamieszkania
0 41.750 7401.000 3 0 2.000 0 0 1 1 0 0 1036.000 10084.000 2414.000 11258.000 0.000 0 0 1 0 0 1 0 1 0
1 46.600 8906.000 2 2 2.000 0 1 0 1 1 1 1553.000 12878.000 3685.000 16072.000 2.000 0 0 1 0 0 0 0 0 1
2 33.800 9260.000 2 4 5.000 0 0 0 1 0 1 929.000 8580.000 2354.000 8878.000 0.000 0 1 1 0 0 1 0 1 0
3 42.000 5929.000 2 3 3.000 0 0 0 0 0 0 1430.000 13809.000 2837.000 17852.000 26.000 0 0 0 1 0 0 0 0 1
4 132.000 8485.000 4 1 2.000 1 0 0 0 1 1 1524.000 14737.000 1602.000 14053.000 2.000 0 0 0 1 0 0 0 0 1

6. Modelowanie

In [65]:
# Podział na zbior zmiennych X oraz zbiór zmiennej celu y - cena_metr
X = df_for_modelling.drop(columns="cena_metr", axis=1).copy()
y = df_for_modelling["cena_metr"]
In [66]:
X.head()
Out[66]:
powierzchnia liczba_pokoi pietro liczba_pieter teren_zamkniety balkon ogrodek winda piwnica monitoring_ochrona czas_auto dystans_auto czas_zbiorowy dystans_zbiorowy wiek_budynku w_budowie nad_morzem Gdańsk Gdynia Sopot rynek_pierwotny do_remontu do_wykonczenia do_zamieszkania
0 41.750 3 0 2.000 0 0 1 1 0 0 1036.000 10084.000 2414.000 11258.000 0.000 0 0 1 0 0 1 0 1 0
1 46.600 2 2 2.000 0 1 0 1 1 1 1553.000 12878.000 3685.000 16072.000 2.000 0 0 1 0 0 0 0 0 1
2 33.800 2 4 5.000 0 0 0 1 0 1 929.000 8580.000 2354.000 8878.000 0.000 0 1 1 0 0 1 0 1 0
3 42.000 2 3 3.000 0 0 0 0 0 0 1430.000 13809.000 2837.000 17852.000 26.000 0 0 0 1 0 0 0 0 1
4 132.000 4 1 2.000 1 0 0 0 1 1 1524.000 14737.000 1602.000 14053.000 2.000 0 0 0 1 0 0 0 0 1
In [67]:
y.head()
Out[67]:
0   7401.000
1   8906.000
2   9260.000
3   5929.000
4   8485.000
Name: cena_metr, dtype: float64
In [68]:
# Podział na zbiór treningowy i testowy (niestosowany do nauki modelu, a do jego testowania) stanowiący 15 % obserwacji
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.15, random_state=12345)
In [69]:
print(f"Rozmiar zbioru treningowego: {X_train.shape}")
print(f"Rozmiar zbioru testowego: {X_test.shape}")
Rozmiar zbioru treningowego: (2678, 24)
Rozmiar zbioru testowego: (473, 24)
In [70]:
# Siatka parametrów dla estymatora LightGBM użyta podczas poszukiwania hyperparametrów 
random_search_grid = {"learning_rate": uniform(0.0001, 0.1),
                      "n_estimators": randint(150, 350),
                     "min_data_in_leaf": randint(10, 50),
                     "max_bin": randint(40, 200),
                      "bagging_fraction": uniform(0.2, 0.5),
                      "bagging_freq": randint(4, 10),
                      "boosting_type": ["dart", "gbdt"]
                     }
In [71]:
# Przygotowanie obiektów estymatora oraz metody do szukania hyperparametrów
lgbm_model = LGBMRegressor(n_jobs=-1, n_iter=200)
random_search = RandomizedSearchCV(estimator=lgbm_model, 
                                   param_distributions=random_search_grid, 
                                   n_iter=50, 
                                   cv=4, 
                                   verbose=50, 
                                   scoring="neg_root_mean_squared_error")
In [72]:
# Uruchomienie procedury wyszukiwania hyperparametrów
random_search.fit(X_train, y_train)
Fitting 4 folds for each of 50 candidates, totalling 200 fits
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-6179.549, total=   1.0s
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.9s remaining:    0.0s
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-6751.214, total=   1.1s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    1.9s remaining:    0.0s
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-6243.052, total=   1.5s
[Parallel(n_jobs=1)]: Done   3 out of   3 | elapsed:    3.4s remaining:    0.0s
[CV] bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.3504435345515259, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3504435345515259
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3504435345515259, bagging_freq=5, boosting_type=dart, learning_rate=0.0064103420320363765, max_bin=193, min_data_in_leaf=22, n_estimators=297, score=-5990.691, total=   1.0s
[Parallel(n_jobs=1)]: Done   4 out of   4 | elapsed:    4.4s remaining:    0.0s
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43
[LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7425.037, total=   0.7s
[Parallel(n_jobs=1)]: Done   5 out of   5 | elapsed:    5.1s remaining:    0.0s
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43
[LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7972.049, total=   1.6s
[Parallel(n_jobs=1)]: Done   6 out of   6 | elapsed:    6.7s remaining:    0.0s
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43
[LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7463.578, total=   0.9s
[Parallel(n_jobs=1)]: Done   7 out of   7 | elapsed:    7.6s remaining:    0.0s
[CV] bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=43, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=43
[LightGBM] [Warning] bagging_fraction is set=0.5592914202095289, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5592914202095289
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5592914202095289, bagging_freq=9, boosting_type=dart, learning_rate=0.0017791345561366412, max_bin=65, min_data_in_leaf=43, n_estimators=320, score=-7286.889, total=   0.8s
[Parallel(n_jobs=1)]: Done   8 out of   8 | elapsed:    8.3s remaining:    0.0s
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3510.052, total=   1.3s
[Parallel(n_jobs=1)]: Done   9 out of   9 | elapsed:    9.6s remaining:    0.0s
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3988.779, total=   1.3s
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:   10.9s remaining:    0.0s
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3522.851, total=   3.0s
[Parallel(n_jobs=1)]: Done  11 out of  11 | elapsed:   13.9s remaining:    0.0s
[CV] bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.4363706728262366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4363706728262366
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4363706728262366, bagging_freq=6, boosting_type=dart, learning_rate=0.02570514263907875, max_bin=155, min_data_in_leaf=10, n_estimators=187, score=-3212.370, total=   2.7s
[Parallel(n_jobs=1)]: Done  12 out of  12 | elapsed:   16.6s remaining:    0.0s
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2475.571, total=   0.8s
[Parallel(n_jobs=1)]: Done  13 out of  13 | elapsed:   17.4s remaining:    0.0s
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2812.105, total=   0.9s
[Parallel(n_jobs=1)]: Done  14 out of  14 | elapsed:   18.3s remaining:    0.0s
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2390.610, total=   0.5s
[Parallel(n_jobs=1)]: Done  15 out of  15 | elapsed:   18.8s remaining:    0.0s
[CV] bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.29246990812919726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29246990812919726
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29246990812919726, bagging_freq=8, boosting_type=gbdt, learning_rate=0.040979290010773266, max_bin=139, min_data_in_leaf=32, n_estimators=306, score=-2110.165, total=   1.1s
[Parallel(n_jobs=1)]: Done  16 out of  16 | elapsed:   19.9s remaining:    0.0s
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-7024.715, total=   2.2s
[Parallel(n_jobs=1)]: Done  17 out of  17 | elapsed:   22.1s remaining:    0.0s
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-7561.925, total=   1.5s
[Parallel(n_jobs=1)]: Done  18 out of  18 | elapsed:   23.6s remaining:    0.0s
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-7060.411, total=   2.5s
[Parallel(n_jobs=1)]: Done  19 out of  19 | elapsed:   26.1s remaining:    0.0s
[CV] bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3237753909511801, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3237753909511801
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3237753909511801, bagging_freq=9, boosting_type=dart, learning_rate=0.0030390173743202295, max_bin=115, min_data_in_leaf=10, n_estimators=264, score=-6870.571, total=   2.5s
[Parallel(n_jobs=1)]: Done  20 out of  20 | elapsed:   28.6s remaining:    0.0s
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-2155.687, total=   0.7s
[Parallel(n_jobs=1)]: Done  21 out of  21 | elapsed:   29.4s remaining:    0.0s
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-2639.718, total=   0.6s
[Parallel(n_jobs=1)]: Done  22 out of  22 | elapsed:   29.9s remaining:    0.0s
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-2057.758, total=   0.5s
[Parallel(n_jobs=1)]: Done  23 out of  23 | elapsed:   30.5s remaining:    0.0s
[CV] bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240 
[LightGBM] [Warning] min_data_in_leaf is set=10, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=10
[LightGBM] [Warning] bagging_fraction is set=0.3022740638468058, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3022740638468058
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3022740638468058, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04717460540007333, max_bin=107, min_data_in_leaf=10, n_estimators=240, score=-1914.363, total=   0.7s
[Parallel(n_jobs=1)]: Done  24 out of  24 | elapsed:   31.2s remaining:    0.0s
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-2279.611, total=   0.9s
[Parallel(n_jobs=1)]: Done  25 out of  25 | elapsed:   32.0s remaining:    0.0s
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-2702.128, total=   0.5s
[Parallel(n_jobs=1)]: Done  26 out of  26 | elapsed:   32.5s remaining:    0.0s
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-2301.258, total=   0.4s
[Parallel(n_jobs=1)]: Done  27 out of  27 | elapsed:   33.0s remaining:    0.0s
[CV] bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.5563925928832198, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5563925928832198
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5563925928832198, bagging_freq=8, boosting_type=gbdt, learning_rate=0.03743378030458097, max_bin=188, min_data_in_leaf=42, n_estimators=179, score=-1929.190, total=   0.5s
[Parallel(n_jobs=1)]: Done  28 out of  28 | elapsed:   33.5s remaining:    0.0s
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-2543.918, total=   0.5s
[Parallel(n_jobs=1)]: Done  29 out of  29 | elapsed:   34.0s remaining:    0.0s
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-3021.745, total=   0.5s
[Parallel(n_jobs=1)]: Done  30 out of  30 | elapsed:   34.5s remaining:    0.0s
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-2533.770, total=   0.5s
[Parallel(n_jobs=1)]: Done  31 out of  31 | elapsed:   35.1s remaining:    0.0s
[CV] bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.6889368747692127, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6889368747692127
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6889368747692127, bagging_freq=4, boosting_type=gbdt, learning_rate=0.009611987048818382, max_bin=61, min_data_in_leaf=28, n_estimators=160, score=-2102.447, total=   0.6s
[Parallel(n_jobs=1)]: Done  32 out of  32 | elapsed:   35.7s remaining:    0.0s
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-2136.554, total=   0.6s
[Parallel(n_jobs=1)]: Done  33 out of  33 | elapsed:   36.2s remaining:    0.0s
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-2571.378, total=   0.6s
[Parallel(n_jobs=1)]: Done  34 out of  34 | elapsed:   36.8s remaining:    0.0s
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-2087.073, total=   0.7s
[Parallel(n_jobs=1)]: Done  35 out of  35 | elapsed:   37.5s remaining:    0.0s
[CV] bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.3596242791823764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3596242791823764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3596242791823764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04419329918163067, max_bin=139, min_data_in_leaf=16, n_estimators=176, score=-1780.754, total=   0.5s
[Parallel(n_jobs=1)]: Done  36 out of  36 | elapsed:   38.1s remaining:    0.0s
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-2178.706, total=   0.6s
[Parallel(n_jobs=1)]: Done  37 out of  37 | elapsed:   38.7s remaining:    0.0s
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-2292.994, total=   1.0s
[Parallel(n_jobs=1)]: Done  38 out of  38 | elapsed:   39.7s remaining:    0.0s
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-1847.922, total=   0.7s
[Parallel(n_jobs=1)]: Done  39 out of  39 | elapsed:   40.4s remaining:    0.0s
[CV] bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6239874815026982, bagging_freq=9, boosting_type=gbdt, learning_rate=0.09426878409665895, max_bin=66, min_data_in_leaf=20, n_estimators=184, score=-1726.728, total=   0.5s
[Parallel(n_jobs=1)]: Done  40 out of  40 | elapsed:   40.9s remaining:    0.0s
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-2246.935, total=   1.0s
[Parallel(n_jobs=1)]: Done  41 out of  41 | elapsed:   41.9s remaining:    0.0s
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-2743.465, total=   0.9s
[Parallel(n_jobs=1)]: Done  42 out of  42 | elapsed:   42.8s remaining:    0.0s
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-2326.916, total=   1.2s
[Parallel(n_jobs=1)]: Done  43 out of  43 | elapsed:   43.9s remaining:    0.0s
[CV] bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.31472853783320065, subsample=1.0 will be ignored. Current value: bagging_fraction=0.31472853783320065
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.31472853783320065, bagging_freq=4, boosting_type=dart, learning_rate=0.08841655821724925, max_bin=125, min_data_in_leaf=17, n_estimators=193, score=-1984.343, total=   0.9s
[Parallel(n_jobs=1)]: Done  44 out of  44 | elapsed:   44.8s remaining:    0.0s
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2405.682, total=   0.3s
[Parallel(n_jobs=1)]: Done  45 out of  45 | elapsed:   45.1s remaining:    0.0s
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2956.818, total=   0.4s
[Parallel(n_jobs=1)]: Done  46 out of  46 | elapsed:   45.6s remaining:    0.0s
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2523.903, total=   0.3s
[Parallel(n_jobs=1)]: Done  47 out of  47 | elapsed:   45.8s remaining:    0.0s
[CV] bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.29583285536708653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.29583285536708653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.29583285536708653, bagging_freq=5, boosting_type=gbdt, learning_rate=0.03420575958156113, max_bin=130, min_data_in_leaf=41, n_estimators=220, score=-2202.944, total=   0.6s
[Parallel(n_jobs=1)]: Done  48 out of  48 | elapsed:   46.5s remaining:    0.0s
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-2803.532, total=   1.3s
[Parallel(n_jobs=1)]: Done  49 out of  49 | elapsed:   47.8s remaining:    0.0s
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-3355.121, total=   1.1s
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-2904.971, total=   0.9s
[CV] bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3987203433466033, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3987203433466033
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3987203433466033, bagging_freq=6, boosting_type=dart, learning_rate=0.04339787118406662, max_bin=171, min_data_in_leaf=23, n_estimators=203, score=-2478.988, total=   0.9s
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6209.466, total=   1.2s
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6785.643, total=   0.7s
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6286.228, total=   0.6s
[CV] bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.44521829906193733, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44521829906193733
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44521829906193733, bagging_freq=9, boosting_type=dart, learning_rate=0.006304210746254879, max_bin=121, min_data_in_leaf=38, n_estimators=245, score=-6030.742, total=   0.6s
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-2427.102, total=   0.7s
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-3007.335, total=   0.9s
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-2558.816, total=   0.6s
[CV] bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.3476093029127675, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3476093029127675
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3476093029127675, bagging_freq=4, boosting_type=dart, learning_rate=0.06913808833355001, max_bin=46, min_data_in_leaf=23, n_estimators=331, score=-2145.348, total=   0.6s
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2272.610, total=   0.3s
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2753.710, total=   0.5s
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2324.058, total=   0.5s
[CV] bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.37421428698548, subsample=1.0 will be ignored. Current value: bagging_fraction=0.37421428698548
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.37421428698548, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06625186107076336, max_bin=64, min_data_in_leaf=39, n_estimators=334, score=-2008.290, total=   0.5s
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2565.594, total=   1.4s
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2904.987, total=   0.8s
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2494.963, total=   0.8s
[CV] bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.627355541369166, subsample=1.0 will be ignored. Current value: bagging_fraction=0.627355541369166
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.627355541369166, bagging_freq=4, boosting_type=dart, learning_rate=0.05082527074296879, max_bin=87, min_data_in_leaf=14, n_estimators=151, score=-2165.408, total=   0.8s
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-2632.304, total=   0.5s
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-3250.959, total=   0.6s
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-2747.402, total=   0.5s
[CV] bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.2927587726596365, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2927587726596365
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2927587726596365, bagging_freq=9, boosting_type=dart, learning_rate=0.06668341440390804, max_bin=73, min_data_in_leaf=41, n_estimators=319, score=-2373.727, total=   0.5s
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2388.319, total=   0.3s
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2830.129, total=   0.3s
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2404.579, total=   0.3s
[CV] bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.20940860199741584, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20940860199741584
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20940860199741584, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06669950262803608, max_bin=125, min_data_in_leaf=33, n_estimators=178, score=-2159.333, total=   0.3s
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-5892.686, total=   0.8s
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-6403.596, total=   0.9s
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-5931.897, total=   0.8s
[CV] bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.4931273820106929, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4931273820106929
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4931273820106929, bagging_freq=8, boosting_type=dart, learning_rate=0.007590910460748013, max_bin=128, min_data_in_leaf=18, n_estimators=259, score=-5672.078, total=   0.9s
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-2165.542, total=   0.6s
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-2392.061, total=   0.8s
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-1948.461, total=   0.9s
[CV] bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.6237316819452027, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6237316819452027
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6237316819452027, bagging_freq=8, boosting_type=gbdt, learning_rate=0.04626744411259119, max_bin=139, min_data_in_leaf=14, n_estimators=269, score=-1693.392, total=   0.9s
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-4098.524, total=   1.4s
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-4673.306, total=   0.7s
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-4195.061, total=   0.8s
[CV] bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.24431510779937227, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24431510779937227
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24431510779937227, bagging_freq=6, boosting_type=dart, learning_rate=0.019731384085998196, max_bin=69, min_data_in_leaf=16, n_estimators=226, score=-3839.559, total=   0.9s
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-2074.900, total=   0.9s
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-2498.353, total=   0.7s
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-1993.969, total=   0.6s
[CV] bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.34261155618297534, subsample=1.0 will be ignored. Current value: bagging_fraction=0.34261155618297534
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.34261155618297534, bagging_freq=7, boosting_type=gbdt, learning_rate=0.055422988503629374, max_bin=41, min_data_in_leaf=11, n_estimators=320, score=-1755.091, total=   0.7s
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-2270.716, total=   1.1s
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-2718.085, total=   1.1s
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-2258.981, total=   0.8s
[CV] bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6496114306743039, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6496114306743039
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6496114306743039, bagging_freq=4, boosting_type=dart, learning_rate=0.09050274063870907, max_bin=123, min_data_in_leaf=30, n_estimators=281, score=-1935.568, total=   1.1s
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 
[LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26
[LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-5120.519, total=   0.8s
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 
[LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26
[LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-5678.946, total=   0.8s
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 
[LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26
[LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-5199.568, total=   0.8s
[CV] bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302 
[LightGBM] [Warning] min_data_in_leaf is set=26, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=26
[LightGBM] [Warning] bagging_fraction is set=0.45111259989844205, subsample=1.0 will be ignored. Current value: bagging_fraction=0.45111259989844205
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.45111259989844205, bagging_freq=9, boosting_type=dart, learning_rate=0.01180127785394013, max_bin=140, min_data_in_leaf=26, n_estimators=302, score=-4878.138, total=   0.8s
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5321.998, total=   1.3s
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5875.068, total=   0.7s
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5408.165, total=   1.1s
[CV] bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6069301465772307, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6069301465772307
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6069301465772307, bagging_freq=9, boosting_type=dart, learning_rate=0.010774662679757897, max_bin=135, min_data_in_leaf=49, n_estimators=158, score=-5093.239, total=   0.7s
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 
[LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44
[LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-3740.077, total=   0.9s
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 
[LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44
[LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-4358.614, total=   0.7s
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 
[LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44
[LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-3842.930, total=   0.9s
[CV] bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300 
[LightGBM] [Warning] min_data_in_leaf is set=44, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=44
[LightGBM] [Warning] bagging_fraction is set=0.5775218572137993, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5775218572137993
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5775218572137993, bagging_freq=6, boosting_type=dart, learning_rate=0.0241864968955674, max_bin=147, min_data_in_leaf=44, n_estimators=300, score=-3444.701, total=   0.8s
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2413.445, total=   0.9s
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2907.554, total=   1.2s
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2413.669, total=   1.0s
[CV] bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.5401994999760531, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5401994999760531
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5401994999760531, bagging_freq=8, boosting_type=dart, learning_rate=0.06622790827638048, max_bin=175, min_data_in_leaf=24, n_estimators=241, score=-2078.611, total=   1.1s
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-2769.463, total=   0.8s
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-3254.628, total=   1.0s
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-2792.346, total=   2.1s
[CV] bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.6686622760344098, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6686622760344098
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6686622760344098, bagging_freq=9, boosting_type=dart, learning_rate=0.04175580507337046, max_bin=97, min_data_in_leaf=22, n_estimators=183, score=-2431.355, total=   1.1s
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2357.114, total=   0.3s
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2897.510, total=   0.3s
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2415.782, total=   0.3s
[CV] bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.270241920448764, subsample=1.0 will be ignored. Current value: bagging_fraction=0.270241920448764
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.270241920448764, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04281818543255046, max_bin=157, min_data_in_leaf=34, n_estimators=196, score=-2120.000, total=   0.3s
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-2979.313, total=   0.8s
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-3394.420, total=   0.9s
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-2972.073, total=   0.8s
[CV] bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.5816795189378653, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5816795189378653
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5816795189378653, bagging_freq=5, boosting_type=dart, learning_rate=0.036661816137873365, max_bin=94, min_data_in_leaf=17, n_estimators=258, score=-2594.699, total=   1.1s
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 
[LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25
[LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2487.975, total=   0.9s
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 
[LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25
[LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2924.429, total=   0.9s
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 
[LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25
[LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2455.817, total=   0.9s
[CV] bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330 
[LightGBM] [Warning] min_data_in_leaf is set=25, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=25
[LightGBM] [Warning] bagging_fraction is set=0.6742641496754607, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6742641496754607
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6742641496754607, bagging_freq=9, boosting_type=dart, learning_rate=0.05883442585091733, max_bin=71, min_data_in_leaf=25, n_estimators=330, score=-2145.335, total=   0.9s
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-2771.733, total=   0.8s
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-3318.167, total=   0.8s
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-2820.767, total=   0.9s
[CV] bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.5054584850964887, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5054584850964887
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5054584850964887, bagging_freq=4, boosting_type=dart, learning_rate=0.04168193202367466, max_bin=133, min_data_in_leaf=20, n_estimators=246, score=-2466.200, total=   0.9s
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-3745.998, total=   0.7s
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-4342.453, total=   0.6s
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-3831.858, total=   0.6s
[CV] bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.4500776886893994, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4500776886893994
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4500776886893994, bagging_freq=7, boosting_type=dart, learning_rate=0.024951893986745022, max_bin=71, min_data_in_leaf=41, n_estimators=277, score=-3421.387, total=   0.7s
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-2246.637, total=   0.6s
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-2438.770, total=   0.5s
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-1908.972, total=   0.7s
[CV] bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.5091806717822311, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5091806717822311
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5091806717822311, bagging_freq=9, boosting_type=gbdt, learning_rate=0.07948182119212889, max_bin=178, min_data_in_leaf=12, n_estimators=320, score=-1682.544, total=   0.6s
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-2915.173, total=   0.6s
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-3519.567, total=   0.6s
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-3028.641, total=   0.7s
[CV] bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5331988656321559, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5331988656321559
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5331988656321559, bagging_freq=7, boosting_type=dart, learning_rate=0.04285123464108593, max_bin=77, min_data_in_leaf=47, n_estimators=286, score=-2592.383, total=   0.6s
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 
[LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46
[LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2457.689, total=   0.7s
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 
[LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46
[LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2994.253, total=   0.8s
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 
[LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46
[LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2538.044, total=   0.6s
[CV] bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225 
[LightGBM] [Warning] min_data_in_leaf is set=46, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=46
[LightGBM] [Warning] bagging_fraction is set=0.6314653596943218, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6314653596943218
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6314653596943218, bagging_freq=7, boosting_type=dart, learning_rate=0.07138655037508991, max_bin=164, min_data_in_leaf=46, n_estimators=225, score=-2144.982, total=   0.8s
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15
[LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-2368.729, total=   0.5s
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15
[LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-3000.917, total=   0.4s
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15
[LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-2489.798, total=   0.4s
[CV] bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=15
[LightGBM] [Warning] bagging_fraction is set=0.21715202555660834, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21715202555660834
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21715202555660834, bagging_freq=9, boosting_type=gbdt, learning_rate=0.017914787383658516, max_bin=104, min_data_in_leaf=15, n_estimators=244, score=-2175.269, total=   0.5s
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-4758.437, total=   1.2s
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-5264.694, total=   1.4s
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-4767.249, total=   1.0s
[CV] bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6895518083151545, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6895518083151545
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6895518083151545, bagging_freq=5, boosting_type=dart, learning_rate=0.014056454162124577, max_bin=143, min_data_in_leaf=23, n_estimators=217, score=-4466.840, total=   1.3s
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-2675.533, total=   0.6s
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-3336.306, total=   0.7s
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-2809.272, total=   1.0s
[CV] bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4033979882489861, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4033979882489861
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4033979882489861, bagging_freq=8, boosting_type=dart, learning_rate=0.06004396019955694, max_bin=120, min_data_in_leaf=47, n_estimators=333, score=-2360.923, total=   0.8s
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2414.249, total=   1.1s
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2957.359, total=   1.0s
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2505.201, total=   1.2s
[CV] bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.5083151884358786, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5083151884358786
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5083151884358786, bagging_freq=4, boosting_type=dart, learning_rate=0.09030201820098523, max_bin=57, min_data_in_leaf=47, n_estimators=291, score=-2082.955, total=   0.6s
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-2226.464, total=   1.1s
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-2698.431, total=   0.9s
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-2290.851, total=   1.0s
[CV] bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.6289078216800295, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6289078216800295
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6289078216800295, bagging_freq=7, boosting_type=dart, learning_rate=0.09967218785756686, max_bin=199, min_data_in_leaf=34, n_estimators=310, score=-1947.831, total=   1.1s
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-2279.485, total=   0.6s
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-2572.595, total=   0.4s
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-2090.086, total=   0.5s
[CV] bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.28670397067324965, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28670397067324965
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28670397067324965, bagging_freq=6, boosting_type=gbdt, learning_rate=0.08699912188897642, max_bin=179, min_data_in_leaf=18, n_estimators=251, score=-1904.579, total=   0.6s
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-2607.912, total=   0.5s
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-3271.216, total=   0.5s
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-2740.025, total=   0.5s
[CV] bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.2180848134832546, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2180848134832546
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2180848134832546, bagging_freq=5, boosting_type=dart, learning_rate=0.06644662116634467, max_bin=133, min_data_in_leaf=28, n_estimators=205, score=-2324.234, total=   0.9s
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-7615.433, total=   0.9s
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-8153.870, total=   1.1s
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-7643.152, total=   0.8s
[CV] bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.6087184826846672, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6087184826846672
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6087184826846672, bagging_freq=7, boosting_type=dart, learning_rate=0.0011513044039851317, max_bin=60, min_data_in_leaf=12, n_estimators=326, score=-7477.695, total=   1.0s
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2317.649, total=   0.5s
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2838.791, total=   0.5s
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2369.721, total=   0.5s
[CV] bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=17, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=17
[LightGBM] [Warning] bagging_fraction is set=0.38346761578099353, subsample=1.0 will be ignored. Current value: bagging_fraction=0.38346761578099353
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.38346761578099353, bagging_freq=7, boosting_type=gbdt, learning_rate=0.014482575005383348, max_bin=93, min_data_in_leaf=17, n_estimators=314, score=-2004.179, total=   0.7s
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-2258.261, total=   0.5s
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-2522.161, total=   0.4s
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-2094.790, total=   0.5s
[CV] bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.5356474043623891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5356474043623891
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5356474043623891, bagging_freq=8, boosting_type=gbdt, learning_rate=0.06940354439778793, max_bin=56, min_data_in_leaf=30, n_estimators=276, score=-1831.485, total=   0.5s
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7268.228, total=   0.7s
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7811.760, total=   0.8s
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7303.392, total=   0.9s
[CV] bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6894977723593108, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6894977723593108
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6894977723593108, bagging_freq=4, boosting_type=dart, learning_rate=0.002284823578741679, max_bin=48, min_data_in_leaf=41, n_estimators=167, score=-7115.253, total=   0.7s
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-2248.636, total=   0.4s
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-2680.004, total=   0.4s
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-2233.660, total=   0.3s
[CV] bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.28810636658218913, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28810636658218913
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28810636658218913, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09577074174270399, max_bin=140, min_data_in_leaf=30, n_estimators=221, score=-1977.234, total=   0.3s
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-2690.711, total=   0.6s
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-3287.722, total=   0.7s
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-2820.078, total=   0.6s
[CV] bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.24129033308491898, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24129033308491898
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24129033308491898, bagging_freq=9, boosting_type=dart, learning_rate=0.05147926439812621, max_bin=160, min_data_in_leaf=20, n_estimators=160, score=-2455.467, total=   0.6s
[Parallel(n_jobs=1)]: Done 200 out of 200 | elapsed:  2.7min finished
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.6239874815026982, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6239874815026982
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

Out[72]:
RandomizedSearchCV(cv=4, estimator=LGBMRegressor(n_iter=200), n_iter=50,
                   param_distributions={'bagging_fraction': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA280>,
                                        'bagging_freq': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8C2700>,
                                        'boosting_type': ['dart', 'gbdt'],
                                        'learning_rate': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF7F0>,
                                        'max_bin': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA970>,
                                        'min_data_in_leaf': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CFF70>,
                                        'n_estimators': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF1C0>},
                   scoring='neg_root_mean_squared_error', verbose=50)
In [73]:
# Wyświetlenie rezultatów dla poszczególnych prób hyperparametrów
pd.DataFrame(random_search.cv_results_).sort_values("rank_test_score")
Out[73]:
mean_fit_time std_fit_time mean_score_time std_score_time param_bagging_fraction param_bagging_freq param_boosting_type param_learning_rate param_max_bin param_min_data_in_leaf param_n_estimators params split0_test_score split1_test_score split2_test_score split3_test_score mean_test_score std_test_score rank_test_score
9 0.679 0.185 0.015 0.003 0.624 9 gbdt 0.094 66 20 184 {'bagging_fraction': 0.6239874815026982, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.09426878409665895, 'max_bin': 66, 'min_data_in_leaf': 20, 'n_estimators': 184} -2178.706 -2292.994 -1847.922 -1726.728 -2011.587 231.867 1
20 0.818 0.122 0.015 0.004 0.624 8 gbdt 0.046 139 14 269 {'bagging_fraction': 0.6237316819452027, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.04626744411259119, 'max_bin': 139, 'min_data_in_leaf': 14, 'n_estimators': 269} -2165.542 -2392.061 -1948.461 -1693.392 -2049.864 258.764 2
34 0.596 0.048 0.015 0.003 0.509 9 gbdt 0.079 178 12 320 {'bagging_fraction': 0.5091806717822311, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.07948182119212889, 'max_bin': 178, 'min_data_in_leaf': 12, 'n_estimators': 320} -2246.637 -2438.770 -1908.972 -1682.544 -2069.231 292.934 3
22 0.740 0.113 0.021 0.004 0.343 7 gbdt 0.055 41 11 320 {'bagging_fraction': 0.34261155618297534, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.055422988503629374, 'max_bin': 41, 'min_data_in_leaf': 11, 'n_estimators': 320} -2074.900 -2498.353 -1993.969 -1755.091 -2080.578 268.333 4
8 0.582 0.058 0.016 0.001 0.360 4 gbdt 0.044 139 16 176 {'bagging_fraction': 0.3596242791823764, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.04419329918163067, 'max_bin': 139, 'min_data_in_leaf': 16, 'n_estimators': 176} -2136.554 -2571.378 -2087.073 -1780.754 -2143.939 281.911 5
46 0.467 0.037 0.016 0.003 0.536 8 gbdt 0.069 56 30 276 {'bagging_fraction': 0.5356474043623891, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.06940354439778793, 'max_bin': 56, 'min_data_in_leaf': 30, 'n_estimators': 276} -2258.261 -2522.161 -2094.790 -1831.485 -2176.675 250.937 6
5 0.613 0.077 0.018 0.006 0.302 6 gbdt 0.047 107 10 240 {'bagging_fraction': 0.3022740638468058, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.04717460540007333, 'max_bin': 107, 'min_data_in_leaf': 10, 'n_estimators': 240} -2155.687 -2639.718 -2057.758 -1914.363 -2191.882 272.430 7
42 0.508 0.080 0.013 0.001 0.287 6 gbdt 0.087 179 18 251 {'bagging_fraction': 0.28670397067324965, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.08699912188897642, 'max_bin': 179, 'min_data_in_leaf': 18, 'n_estimators': 251} -2279.485 -2572.595 -2090.086 -1904.579 -2211.686 246.958 8
48 0.335 0.024 0.012 0.001 0.288 6 gbdt 0.096 140 30 221 {'bagging_fraction': 0.28810636658218913, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.09577074174270399, 'max_bin': 140, 'min_data_in_leaf': 30, 'n_estimators': 221} -2248.636 -2680.004 -2233.660 -1977.234 -2284.883 252.342 9
41 1.010 0.071 0.020 0.011 0.629 7 dart 0.100 199 34 310 {'bagging_fraction': 0.6289078216800295, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.09967218785756686, 'max_bin': 199, 'min_data_in_leaf': 34, 'n_estimators': 310} -2226.464 -2698.431 -2290.851 -1947.831 -2290.894 268.296 10
23 1.030 0.118 0.012 0.002 0.650 4 dart 0.091 123 30 281 {'bagging_fraction': 0.6496114306743039, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.09050274063870907, 'max_bin': 123, 'min_data_in_leaf': 30, 'n_estimators': 281} -2270.716 -2718.085 -2258.981 -1935.568 -2295.838 278.423 11
6 0.555 0.170 0.021 0.010 0.556 8 gbdt 0.037 188 42 179 {'bagging_fraction': 0.5563925928832198, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.03743378030458097, 'max_bin': 188, 'min_data_in_leaf': 42, 'n_estimators': 179} -2279.611 -2702.128 -2301.258 -1929.190 -2303.047 273.673 12
10 0.970 0.118 0.012 0.000 0.315 4 dart 0.088 125 17 193 {'bagging_fraction': 0.31472853783320065, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.08841655821724925, 'max_bin': 125, 'min_data_in_leaf': 17, 'n_estimators': 193} -2246.935 -2743.465 -2326.916 -1984.343 -2325.415 272.606 13
15 0.426 0.084 0.029 0.026 0.374 9 gbdt 0.066 64 39 334 {'bagging_fraction': 0.37421428698548, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.06625186107076336, 'max_bin': 64, 'min_data_in_leaf': 39, 'n_estimators': 334} -2272.610 -2753.710 -2324.058 -2008.290 -2339.667 267.387 14
45 0.555 0.079 0.012 0.001 0.383 7 gbdt 0.014 93 17 314 {'bagging_fraction': 0.38346761578099353, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.014482575005383348, 'max_bin': 93, 'min_data_in_leaf': 17, 'n_estimators': 314} -2317.649 -2838.791 -2369.721 -2004.179 -2382.585 298.202 15
18 0.270 0.022 0.012 0.002 0.209 9 gbdt 0.067 125 33 178 {'bagging_fraction': 0.20940860199741584, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.06669950262803608, 'max_bin': 125, 'min_data_in_leaf': 33, 'n_estimators': 178} -2388.319 -2830.129 -2404.579 -2159.333 -2445.590 242.268 16
3 0.795 0.237 0.024 0.007 0.292 8 gbdt 0.041 139 32 306 {'bagging_fraction': 0.29246990812919726, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.040979290010773266, 'max_bin': 139, 'min_data_in_leaf': 32, 'n_estimators': 306} -2475.571 -2812.105 -2390.610 -2110.165 -2447.113 250.377 17
29 0.289 0.026 0.011 0.002 0.270 4 gbdt 0.043 157 34 196 {'bagging_fraction': 0.270241920448764, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.04281818543255046, 'max_bin': 157, 'min_data_in_leaf': 34, 'n_estimators': 196} -2357.114 -2897.510 -2415.782 -2120.000 -2447.601 282.374 18
27 1.024 0.084 0.015 0.006 0.540 8 dart 0.066 175 24 241 {'bagging_fraction': 0.5401994999760531, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.06622790827638048, 'max_bin': 175, 'min_data_in_leaf': 24, 'n_estimators': 241} -2413.445 -2907.554 -2413.669 -2078.611 -2453.320 295.761 19
40 0.950 0.221 0.023 0.010 0.508 4 dart 0.090 57 47 291 {'bagging_fraction': 0.5083151884358786, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.09030201820098523, 'max_bin': 57, 'min_data_in_leaf': 47, 'n_estimators': 291} -2414.249 -2957.359 -2505.201 -2082.955 -2489.941 312.281 20
31 0.893 0.024 0.014 0.001 0.674 9 dart 0.059 71 25 330 {'bagging_fraction': 0.6742641496754607, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.05883442585091733, 'max_bin': 71, 'min_data_in_leaf': 25, 'n_estimators': 330} -2487.975 -2924.429 -2455.817 -2145.335 -2503.389 277.479 21
37 0.419 0.052 0.014 0.004 0.217 9 gbdt 0.018 104 15 244 {'bagging_fraction': 0.21715202555660834, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.017914787383658516, 'max_bin': 104, 'min_data_in_leaf': 15, 'n_estimators': 244} -2368.729 -3000.917 -2489.798 -2175.269 -2508.678 305.533 22
11 0.396 0.140 0.012 0.001 0.296 5 gbdt 0.034 130 41 220 {'bagging_fraction': 0.29583285536708653, 'bagging_freq': 5, 'boosting_type': 'gbdt', 'learning_rate': 0.03420575958156113, 'max_bin': 130, 'min_data_in_leaf': 41, 'n_estimators': 220} -2405.682 -2956.818 -2523.903 -2202.944 -2522.337 275.861 23
16 0.941 0.272 0.012 0.002 0.627 4 dart 0.051 87 14 151 {'bagging_fraction': 0.627355541369166, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.05082527074296879, 'max_bin': 87, 'min_data_in_leaf': 14, 'n_estimators': 151} -2565.594 -2904.987 -2494.963 -2165.408 -2532.738 262.682 24
36 0.707 0.051 0.024 0.011 0.631 7 dart 0.071 164 46 225 {'bagging_fraction': 0.6314653596943218, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.07138655037508991, 'max_bin': 164, 'min_data_in_leaf': 46, 'n_estimators': 225} -2457.689 -2994.253 -2538.044 -2144.982 -2533.742 303.730 25
14 0.698 0.100 0.013 0.002 0.348 4 dart 0.069 46 23 331 {'bagging_fraction': 0.3476093029127675, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.06913808833355001, 'max_bin': 46, 'min_data_in_leaf': 23, 'n_estimators': 331} -2427.102 -3007.335 -2558.816 -2145.348 -2534.650 311.102 26
7 0.529 0.037 0.012 0.002 0.689 4 gbdt 0.010 61 28 160 {'bagging_fraction': 0.6889368747692127, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.009611987048818382, 'max_bin': 61, 'min_data_in_leaf': 28, 'n_estimators': 160} -2543.918 -3021.745 -2533.770 -2102.447 -2550.470 325.249 27
43 0.590 0.165 0.011 0.001 0.218 5 dart 0.066 133 28 205 {'bagging_fraction': 0.2180848134832546, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.06644662116634467, 'max_bin': 133, 'min_data_in_leaf': 28, 'n_estimators': 205} -2607.912 -3271.216 -2740.025 -2324.234 -2735.847 343.668 28
17 0.532 0.053 0.012 0.002 0.293 9 dart 0.067 73 41 319 {'bagging_fraction': 0.2927587726596365, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.06668341440390804, 'max_bin': 73, 'min_data_in_leaf': 41, 'n_estimators': 319} -2632.304 -3250.959 -2747.402 -2373.727 -2751.098 318.746 29
39 0.760 0.124 0.022 0.011 0.403 8 dart 0.060 120 47 333 {'bagging_fraction': 0.4033979882489861, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.06004396019955694, 'max_bin': 120, 'min_data_in_leaf': 47, 'n_estimators': 333} -2675.533 -3336.306 -2809.272 -2360.923 -2795.509 352.104 30
28 1.216 0.497 0.014 0.005 0.669 9 dart 0.042 97 22 183 {'bagging_fraction': 0.6686622760344098, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.04175580507337046, 'max_bin': 97, 'min_data_in_leaf': 22, 'n_estimators': 183} -2769.463 -3254.628 -2792.346 -2431.355 -2811.948 292.833 31
49 0.616 0.059 0.011 0.001 0.241 9 dart 0.051 160 20 160 {'bagging_fraction': 0.24129033308491898, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.05147926439812621, 'max_bin': 160, 'min_data_in_leaf': 20, 'n_estimators': 160} -2690.711 -3287.722 -2820.078 -2455.467 -2813.494 303.395 32
32 0.850 0.037 0.014 0.002 0.505 4 dart 0.042 133 20 246 {'bagging_fraction': 0.5054584850964887, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.04168193202367466, 'max_bin': 133, 'min_data_in_leaf': 20, 'n_estimators': 246} -2771.733 -3318.167 -2820.767 -2466.200 -2844.217 305.503 33
12 1.039 0.165 0.013 0.001 0.399 6 dart 0.043 171 23 203 {'bagging_fraction': 0.3987203433466033, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.04339787118406662, 'max_bin': 171, 'min_data_in_leaf': 23, 'n_estimators': 203} -2803.532 -3355.121 -2904.971 -2478.988 -2885.653 313.406 34
30 0.887 0.127 0.013 0.001 0.582 5 dart 0.037 94 17 258 {'bagging_fraction': 0.5816795189378653, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.036661816137873365, 'max_bin': 94, 'min_data_in_leaf': 17, 'n_estimators': 258} -2979.313 -3394.420 -2972.073 -2594.699 -2985.126 282.913 35
35 0.602 0.060 0.016 0.005 0.533 7 dart 0.043 77 47 286 {'bagging_fraction': 0.5331988656321559, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.04285123464108593, 'max_bin': 77, 'min_data_in_leaf': 47, 'n_estimators': 286} -2915.173 -3519.567 -3028.641 -2592.383 -3013.941 332.919 36
2 2.036 0.770 0.026 0.017 0.436 6 dart 0.026 155 10 187 {'bagging_fraction': 0.4363706728262366, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.02570514263907875, 'max_bin': 155, 'min_data_in_leaf': 10, 'n_estimators': 187} -3510.052 -3988.779 -3522.851 -3212.370 -3558.513 277.743 37
33 0.621 0.077 0.013 0.004 0.450 7 dart 0.025 71 41 277 {'bagging_fraction': 0.4500776886893994, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.024951893986745022, 'max_bin': 71, 'min_data_in_leaf': 41, 'n_estimators': 277} -3745.998 -4342.453 -3831.858 -3421.387 -3835.424 330.346 38
26 0.815 0.058 0.014 0.003 0.578 6 dart 0.024 147 44 300 {'bagging_fraction': 0.5775218572137993, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.0241864968955674, 'max_bin': 147, 'min_data_in_leaf': 44, 'n_estimators': 300} -3740.077 -4358.614 -3842.930 -3444.701 -3846.580 329.788 39
21 0.912 0.254 0.020 0.010 0.244 6 dart 0.020 69 16 226 {'bagging_fraction': 0.24431510779937227, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.019731384085998196, 'max_bin': 69, 'min_data_in_leaf': 16, 'n_estimators': 226} -4098.524 -4673.306 -4195.061 -3839.559 -4201.613 301.765 40
38 1.205 0.128 0.013 0.001 0.690 5 dart 0.014 143 23 217 {'bagging_fraction': 0.6895518083151545, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.014056454162124577, 'max_bin': 143, 'min_data_in_leaf': 23, 'n_estimators': 217} -4758.437 -5264.694 -4767.249 -4466.840 -4814.305 286.757 41
24 0.795 0.027 0.013 0.001 0.451 9 dart 0.012 140 26 302 {'bagging_fraction': 0.45111259989844205, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.01180127785394013, 'max_bin': 140, 'min_data_in_leaf': 26, 'n_estimators': 302} -5120.519 -5678.946 -5199.568 -4878.138 -5219.293 290.608 42
25 0.907 0.259 0.013 0.002 0.607 9 dart 0.011 135 49 158 {'bagging_fraction': 0.6069301465772307, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.010774662679757897, 'max_bin': 135, 'min_data_in_leaf': 49, 'n_estimators': 158} -5321.998 -5875.068 -5408.165 -5093.239 -5424.617 284.393 43
19 0.849 0.025 0.012 0.000 0.493 8 dart 0.008 128 18 259 {'bagging_fraction': 0.4931273820106929, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.007590910460748013, 'max_bin': 128, 'min_data_in_leaf': 18, 'n_estimators': 259} -5892.686 -6403.596 -5931.897 -5672.078 -5975.064 266.500 44
0 1.102 0.195 0.019 0.009 0.350 5 dart 0.006 193 22 297 {'bagging_fraction': 0.3504435345515259, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.0064103420320363765, 'max_bin': 193, 'min_data_in_leaf': 22, 'n_estimators': 297} -6179.549 -6751.214 -6243.052 -5990.691 -6291.127 281.382 45
13 0.770 0.234 0.012 0.002 0.445 9 dart 0.006 121 38 245 {'bagging_fraction': 0.44521829906193733, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.006304210746254879, 'max_bin': 121, 'min_data_in_leaf': 38, 'n_estimators': 245} -6209.466 -6785.643 -6286.228 -6030.742 -6328.020 279.997 46
4 2.154 0.400 0.021 0.006 0.324 9 dart 0.003 115 10 264 {'bagging_fraction': 0.3237753909511801, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.0030390173743202295, 'max_bin': 115, 'min_data_in_leaf': 10, 'n_estimators': 264} -7024.715 -7561.925 -7060.411 -6870.571 -7129.406 259.706 47
47 0.781 0.061 0.013 0.004 0.689 4 dart 0.002 48 41 167 {'bagging_fraction': 0.6894977723593108, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.002284823578741679, 'max_bin': 48, 'min_data_in_leaf': 41, 'n_estimators': 167} -7268.228 -7811.760 -7303.392 -7115.253 -7374.658 262.085 48
1 0.959 0.343 0.016 0.007 0.559 9 dart 0.002 65 43 320 {'bagging_fraction': 0.5592914202095289, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.0017791345561366412, 'max_bin': 65, 'min_data_in_leaf': 43, 'n_estimators': 320} -7425.037 -7972.049 -7463.578 -7286.889 -7536.888 259.687 49
44 0.917 0.109 0.014 0.005 0.609 7 dart 0.001 60 12 326 {'bagging_fraction': 0.6087184826846672, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.0011513044039851317, 'max_bin': 60, 'min_data_in_leaf': 12, 'n_estimators': 326} -7615.433 -8153.870 -7643.152 -7477.695 -7722.538 256.792 50
In [74]:
# Przypisanie najlepszego, wytrenowanego modelu do zmiennej
best_model = random_search.best_estimator_
In [75]:
# Obliczenie metryk MAPE i RMSE korzystając z funkcji calculate_metrics
calculate_metrics(best_model, X_train, y_train, X_test, y_test)
train test
MAPE 5.821 10.146
RMSE 962.587 1660.133
In [76]:
# Wykres reszt
residuals_plot(best_model, X_train, y_train, X_test, y_test)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning:

From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.

Out[76]:
ResidualsPlot(ax=<AxesSubplot:title={'center':'Residuals for LGBMRegressor Model'}, xlabel='Predicted Value', ylabel='Residuals'>,
              line_color=None, model=None, test_alpha=None, test_color=None,
              train_alpha=None, train_color=None)
In [77]:
# Wykres błędów predykcji
prediction_error(best_model, X_train, y_train, X_test, y_test)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning:

From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.

Out[77]:
PredictionError(ax=<AxesSubplot:title={'center':'Prediction Error for LGBMRegressor'}, xlabel='$y$', ylabel='$\\hat{y}$'>,
                model=None)
In [78]:
# Próba usunięcia wartości odstających dla zmiennej celu
df_for_modelling_outliers_index = df_for_modelling.copy()
df_for_modelling_outliers_index["zscore"] = zscore(df_for_modelling_outliers_index["cena_metr"])
In [79]:
# Wskazanie obserwacji, których moduł wartości zscore przekracza 3 - wartości odstające
outliers_indices = df_for_modelling_outliers_index["zscore"].abs() >= 3
In [80]:
display(df_for_modelling_outliers_index[outliers_indices])

print(f"Liczba obserwacji odstających: {outliers_indices.sum()}")
powierzchnia cena_metr liczba_pokoi pietro liczba_pieter teren_zamkniety balkon ogrodek winda piwnica monitoring_ochrona czas_auto dystans_auto czas_zbiorowy dystans_zbiorowy wiek_budynku w_budowie nad_morzem Gdańsk Gdynia Sopot rynek_pierwotny do_remontu do_wykonczenia do_zamieszkania zscore
21 50.620 29900.000 2 4 4.000 0 1 0 1 1 1 1802.000 15039.000 2872.000 16174.000 0.000 0 1 0 1 0 0 0 1 0 4.798
81 84.000 30952.000 3 5 5.000 0 1 0 1 1 0 1623.000 14155.000 2394.000 15060.000 0.000 0 1 0 1 0 0 0 0 1 5.057
83 98.940 26279.000 3 5 5.000 0 1 0 1 1 0 1524.000 14737.000 1602.000 14053.000 5.000 0 1 0 1 0 0 0 0 1 3.906
84 74.210 31000.000 2 4 6.000 0 0 0 1 0 0 1038.000 9489.000 2651.000 9845.000 1.000 0 1 1 0 0 0 0 0 1 5.069
144 59.200 22618.000 2 5 6.000 0 0 0 1 0 1 1038.000 9489.000 2651.000 9845.000 1.000 0 1 1 0 0 0 0 0 1 3.005
217 134.200 24441.000 5 2 2.000 1 0 0 1 1 1 946.000 7867.000 2246.000 8477.000 2.000 0 1 0 1 0 0 0 0 1 3.454
357 132.560 30100.000 3 4 4.000 0 1 0 1 0 0 1027.000 8715.000 2534.000 9115.000 11.000 0 1 1 0 0 0 0 0 1 4.847
379 63.800 23981.000 2 15 32.000 0 0 0 1 0 1 1711.000 14379.000 2563.000 15284.000 13.000 0 1 0 1 0 0 0 0 1 3.340
387 84.000 22619.000 3 1 4.000 0 1 0 1 0 1 565.000 4056.000 1573.000 4527.000 3.000 0 1 1 0 0 0 0 0 1 3.005
452 381.000 41995.000 4 15 32.000 0 0 0 1 0 1 1711.000 14379.000 2563.000 15284.000 11.000 0 1 0 1 0 0 0 0 1 7.777
453 98.940 27289.000 3 5 5.000 0 0 0 1 0 0 1531.000 13182.000 2605.000 14089.000 5.000 0 1 0 1 0 0 0 0 1 4.155
533 150.000 49933.000 4 0 2.000 0 1 1 1 0 0 987.000 9233.000 2293.000 10404.000 11.000 0 1 0 1 0 0 0 0 1 9.732
568 37.300 22788.000 2 5 6.000 0 1 0 1 0 1 1114.000 9694.000 2711.000 9758.000 0.000 0 1 1 0 0 0 0 0 1 3.046
677 132.560 30100.000 3 4 4.000 0 1 0 1 0 0 1027.000 8715.000 2534.000 9115.000 11.000 0 1 1 0 0 0 0 0 1 4.847
678 125.000 29984.000 4 1 3.000 0 0 0 1 0 1 884.000 8304.000 1362.000 9195.000 3.000 0 1 1 0 0 0 0 0 1 4.819
841 103.420 32000.000 3 4 6.000 0 1 0 1 0 0 1038.000 9489.000 2651.000 9845.000 1.000 0 1 1 0 0 0 0 0 1 5.315
1329 42.000 23690.000 2 3 7.000 0 1 0 1 0 0 1038.000 9489.000 2651.000 9845.000 0.000 0 1 1 0 0 0 0 0 1 3.269
1340 73.300 23861.000 3 1 2.000 1 1 0 1 0 1 545.000 3564.000 1339.000 3905.000 0.000 0 1 1 0 0 0 0 0 1 3.311
1445 75.190 29500.000 2 2 6.000 0 0 0 1 0 0 1038.000 9489.000 2651.000 9845.000 1.000 0 1 1 0 0 0 0 0 1 4.700
1451 48.650 40082.000 2 4 4.000 0 1 0 1 1 0 1802.000 15039.000 2872.000 16174.000 0.000 0 1 0 1 0 0 0 0 1 7.306
1499 125.000 29984.000 4 1 3.000 0 0 0 1 0 1 884.000 8304.000 1362.000 9195.000 3.000 0 1 1 0 0 0 0 0 1 4.819
1640 125.000 29984.000 4 1 3.000 0 0 0 1 0 1 884.000 8304.000 1362.000 9195.000 3.000 0 1 1 0 0 0 0 0 1 4.819
1693 69.650 25126.000 3 1 3.000 0 1 0 0 0 0 788.000 5457.000 1610.000 5857.000 6.000 0 0 0 0 1 0 0 0 1 3.622
1702 107.550 35000.000 4 1 3.000 0 1 0 0 0 0 733.000 5447.000 1842.000 6139.000 4.000 0 1 0 0 1 0 0 0 1 6.054
1703 89.520 35000.000 4 2 3.000 0 1 0 0 0 0 733.000 5447.000 1842.000 6139.000 4.000 0 1 0 0 1 0 0 0 1 6.054
1709 112.700 30169.000 4 8 11.000 0 0 0 0 1 0 1601.000 14149.000 2335.000 14969.000 8.000 0 1 0 1 0 0 0 0 1 4.864
1723 156.640 27451.000 4 2 2.000 0 0 0 0 0 0 970.000 9106.000 2193.000 10278.000 5.000 0 1 0 1 0 0 0 0 1 4.195
1807 86.000 22616.000 4 1 3.000 0 0 0 0 1 0 744.000 5173.000 1925.000 6688.000 113.000 0 1 0 0 1 0 0 0 1 3.004
1817 84.000 22619.000 3 1 3.000 0 1 0 1 1 0 621.000 4308.000 1726.000 5122.000 3.000 0 1 1 0 0 1 0 0 1 3.005
1991 98.100 28033.000 2 3 3.000 0 0 0 0 1 0 637.000 4736.000 1771.000 6057.000 110.000 0 1 0 0 1 0 0 0 1 4.338
2008 120.000 26667.000 4 15 24.000 0 0 0 0 0 1 1711.000 14379.000 2563.000 15284.000 9.000 0 1 0 1 0 0 0 0 1 4.002
2044 100.000 25000.000 4 4 7.000 0 1 0 0 0 0 1038.000 9489.000 2651.000 9845.000 0.000 0 1 1 0 0 0 0 1 0 3.591
2120 125.000 29984.000 4 1 3.000 0 0 0 1 0 1 884.000 8304.000 1362.000 9195.000 3.000 0 1 1 0 0 0 0 0 1 4.819
2127 95.000 25263.000 3 2 7.000 0 1 0 0 0 0 1038.000 9489.000 2651.000 9845.000 1.000 0 1 1 0 0 0 0 0 1 3.656
2329 86.000 22616.000 4 1 3.000 0 0 0 0 1 0 744.000 5173.000 1925.000 6688.000 113.000 0 1 0 0 1 0 0 0 1 3.004
2465 50.000 24600.000 2 2 4.000 0 0 0 0 0 0 1024.000 9256.000 2311.000 10427.000 4.000 0 1 0 1 0 0 0 0 1 3.493
2619 112.530 27993.000 2 3 3.000 0 1 0 0 1 0 637.000 4736.000 1771.000 6057.000 110.000 0 0 0 0 1 0 0 0 1 4.328
2627 125.000 29984.000 4 1 3.000 0 0 0 1 0 1 884.000 8304.000 1362.000 9195.000 3.000 0 1 1 0 0 0 0 0 1 4.819
2721 132.560 30100.000 3 4 4.000 0 1 0 1 0 0 1027.000 8715.000 2534.000 9115.000 11.000 0 1 1 0 0 0 0 0 1 4.847
2781 89.520 35000.000 4 1 3.000 0 1 0 0 0 0 733.000 5447.000 1842.000 6139.000 4.000 0 1 0 0 1 0 0 0 1 6.054
2789 125.000 25600.000 4 8 8.000 0 0 0 0 0 0 587.000 4421.000 1149.000 3558.000 3.000 0 0 1 0 0 0 0 0 1 3.739
2817 123.000 24390.000 3 2 2.000 0 1 0 1 0 0 733.000 5447.000 1842.000 6139.000 5.000 0 1 0 0 1 0 0 0 1 3.441
2819 125.000 22960.000 5 1 3.000 0 1 0 1 1 1 1024.000 9256.000 2311.000 10427.000 5.000 0 1 0 1 0 0 0 0 1 3.089
2974 105.700 27909.000 3 2 2.000 0 0 0 1 1 0 970.000 9106.000 2193.000 10278.000 6.000 0 1 0 1 0 0 0 0 1 4.308
3033 125.000 25600.000 4 8 8.000 0 0 0 0 0 0 587.000 4421.000 1149.000 3558.000 3.000 0 0 1 0 0 0 0 0 1 3.739
3156 125.000 25600.000 4 8 8.000 0 0 0 0 0 0 587.000 4421.000 1149.000 3558.000 3.000 0 0 1 0 0 0 0 0 1 3.739
3327 46.000 23891.000 1 6 6.000 1 0 0 1 0 1 988.000 9052.000 2733.000 9383.000 4.000 0 1 1 0 0 0 0 0 1 3.318
3337 71.000 22676.000 2 3 4.000 0 0 0 1 1 1 986.000 8407.000 2235.000 9114.000 11.000 0 1 1 0 0 0 0 0 1 3.019
3436 50.620 29900.000 2 4 4.000 0 1 0 1 1 1 1802.000 15039.000 2872.000 16174.000 0.000 0 1 0 1 0 0 0 1 0 4.798
3495 84.000 30952.000 3 5 5.000 0 1 0 1 1 0 1623.000 14155.000 2394.000 15060.000 0.000 0 1 0 1 0 0 0 0 1 5.057
3497 98.940 26279.000 3 5 5.000 0 1 0 1 1 0 1524.000 14737.000 1602.000 14053.000 5.000 0 1 0 1 0 0 0 0 1 3.906
3498 74.210 31000.000 2 4 6.000 0 0 0 1 0 0 1038.000 9489.000 2651.000 9845.000 1.000 0 1 1 0 0 0 0 0 1 5.069
3542 132.560 30100.000 3 4 4.000 0 1 0 1 0 0 1027.000 8715.000 2534.000 9115.000 11.000 0 1 1 0 0 0 0 0 1 4.847
3680 86.000 22616.000 4 1 3.000 0 0 0 0 1 0 744.000 5173.000 1925.000 6688.000 113.000 0 1 0 0 1 0 0 0 1 3.004
3754 61.000 22934.000 3 2 3.000 1 1 0 0 0 1 440.000 2475.000 785.000 1575.000 1.000 0 0 1 0 0 0 0 0 1 3.082
4062 46.470 25000.000 2 2 7.000 0 1 0 1 0 1 1038.000 9489.000 2651.000 9845.000 1.000 0 1 1 0 0 0 0 1 0 3.591
4162 112.260 29396.000 3 3 3.000 1 0 0 1 1 1 504.000 4558.000 1197.000 5316.000 2.000 0 1 0 0 1 0 0 0 1 4.674
4243 43.000 25558.000 2 1 3.000 1 0 0 1 0 1 824.000 4713.000 1994.000 4103.000 1.000 0 1 1 0 0 0 0 0 1 3.729
4245 123.000 23496.000 4 3 3.000 0 0 0 0 1 0 1498.000 13363.000 2985.000 14586.000 22.000 0 1 0 1 0 0 0 0 1 3.221
4274 42.000 28548.000 2 0 3.000 1 0 0 1 0 1 824.000 4713.000 1994.000 4103.000 3.000 0 1 1 0 0 0 0 0 1 4.465
4534 36.000 23028.000 1 1 3.000 0 1 0 0 0 1 504.000 4558.000 1197.000 5316.000 7.000 0 0 0 0 1 0 0 0 1 3.106
Liczba obserwacji odstających: 61
In [81]:
# Pominięcie obserwacji odstających i ponowna faza modelowania
df_for_modelling_outliers_index = df_for_modelling_outliers_index[~outliers_indices].drop(columns="zscore", axis=1)
In [83]:
# Podział na zbior zmiennych X oraz zbiór zmiennej celu y
X_without_outliers = df_for_modelling_outliers_index.drop(columns="cena_metr", axis=1).copy()
y_without_outliers = df_for_modelling_outliers_index["cena_metr"]

# Podział na nowy zbiór uczący i testowy
X_train_wo, X_test_wo, y_train_wo, y_test_wo = train_test_split(X_without_outliers, 
                                                                y_without_outliers, 
                                                                test_size=0.15, 
                                                                random_state=12345)

print(f"Rozmiar zbioru treningowego: {X_train_wo.shape}")
print(f"Rozmiar zbioru testowego: {X_test_wo.shape}")

lgbm_model = LGBMRegressor(n_jobs=-1, n_iter=200)
random_search_without_outliers = RandomizedSearchCV(estimator=lgbm_model, 
                                                    param_distributions=random_search_grid, 
                                                    n_iter=50, 
                                                    cv=4, 
                                                    verbose=50, 
                                                    scoring="neg_root_mean_squared_error")

random_search_without_outliers.fit(X_train_wo, y_train_wo)
Rozmiar zbioru treningowego: (2626, 24)
Rozmiar zbioru testowego: (464, 24)
Fitting 4 folds for each of 50 candidates, totalling 200 fits
[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1583.499, total=   0.6s
[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.5s remaining:    0.0s
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1614.934, total=   0.5s
[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    1.0s remaining:    0.0s
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1381.541, total=   0.6s
[Parallel(n_jobs=1)]: Done   3 out of   3 | elapsed:    1.7s remaining:    0.0s
[CV] bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.6998785875233111, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6998785875233111
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6998785875233111, bagging_freq=7, boosting_type=gbdt, learning_rate=0.07485064519324487, max_bin=93, min_data_in_leaf=18, n_estimators=169, score=-1333.093, total=   0.8s
[Parallel(n_jobs=1)]: Done   4 out of   4 | elapsed:    2.5s remaining:    0.0s
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3530.200, total=   0.5s
[Parallel(n_jobs=1)]: Done   5 out of   5 | elapsed:    3.0s remaining:    0.0s
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3657.556, total=   0.6s
[Parallel(n_jobs=1)]: Done   6 out of   6 | elapsed:    3.5s remaining:    0.0s
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3690.255, total=   0.7s
[Parallel(n_jobs=1)]: Done   7 out of   7 | elapsed:    4.3s remaining:    0.0s
[CV] bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.20629497701052413, subsample=1.0 will be ignored. Current value: bagging_fraction=0.20629497701052413
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.20629497701052413, bagging_freq=8, boosting_type=dart, learning_rate=0.02054395045871853, max_bin=124, min_data_in_leaf=21, n_estimators=150, score=-3391.109, total=   0.6s
[Parallel(n_jobs=1)]: Done   8 out of   8 | elapsed:    4.8s remaining:    0.0s
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2216.235, total=   0.8s
[Parallel(n_jobs=1)]: Done   9 out of   9 | elapsed:    5.7s remaining:    0.0s
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2368.762, total=   0.8s
[Parallel(n_jobs=1)]: Done  10 out of  10 | elapsed:    6.5s remaining:    0.0s
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2317.106, total=   0.9s
[Parallel(n_jobs=1)]: Done  11 out of  11 | elapsed:    7.4s remaining:    0.0s
[CV] bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5800802183392917, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5800802183392917
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5800802183392917, bagging_freq=5, boosting_type=dart, learning_rate=0.042888181968319665, max_bin=174, min_data_in_leaf=32, n_estimators=243, score=-2071.467, total=   1.7s
[Parallel(n_jobs=1)]: Done  12 out of  12 | elapsed:    9.0s remaining:    0.0s
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1694.937, total=   1.1s
[Parallel(n_jobs=1)]: Done  13 out of  13 | elapsed:   10.2s remaining:    0.0s
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1744.980, total=   0.4s
[Parallel(n_jobs=1)]: Done  14 out of  14 | elapsed:   10.6s remaining:    0.0s
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1574.772, total=   0.4s
[Parallel(n_jobs=1)]: Done  15 out of  15 | elapsed:   11.0s remaining:    0.0s
[CV] bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244 
[LightGBM] [Warning] min_data_in_leaf is set=34, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=34
[LightGBM] [Warning] bagging_fraction is set=0.39676145576873106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39676145576873106
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39676145576873106, bagging_freq=4, boosting_type=gbdt, learning_rate=0.06494680994286729, max_bin=62, min_data_in_leaf=34, n_estimators=244, score=-1419.995, total=   0.4s
[Parallel(n_jobs=1)]: Done  16 out of  16 | elapsed:   11.4s remaining:    0.0s
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1794.134, total=   0.5s
[Parallel(n_jobs=1)]: Done  17 out of  17 | elapsed:   11.9s remaining:    0.0s
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1896.435, total=   0.6s
[Parallel(n_jobs=1)]: Done  18 out of  18 | elapsed:   12.5s remaining:    0.0s
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1664.133, total=   0.3s
[Parallel(n_jobs=1)]: Done  19 out of  19 | elapsed:   12.8s remaining:    0.0s
[CV] bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.5960579251101352, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5960579251101352
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5960579251101352, bagging_freq=5, boosting_type=gbdt, learning_rate=0.027176967873624027, max_bin=65, min_data_in_leaf=49, n_estimators=185, score=-1500.531, total=   0.4s
[Parallel(n_jobs=1)]: Done  20 out of  20 | elapsed:   13.2s remaining:    0.0s
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2807.498, total=   0.6s
[Parallel(n_jobs=1)]: Done  21 out of  21 | elapsed:   13.8s remaining:    0.0s
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2957.506, total=   0.6s
[Parallel(n_jobs=1)]: Done  22 out of  22 | elapsed:   14.4s remaining:    0.0s
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2992.983, total=   0.5s
[Parallel(n_jobs=1)]: Done  23 out of  23 | elapsed:   14.9s remaining:    0.0s
[CV] bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.25907724124522485, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25907724124522485
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25907724124522485, bagging_freq=5, boosting_type=dart, learning_rate=0.030568542699766065, max_bin=114, min_data_in_leaf=30, n_estimators=321, score=-2680.385, total=   0.8s
[Parallel(n_jobs=1)]: Done  24 out of  24 | elapsed:   15.7s remaining:    0.0s
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1561.246, total=   1.1s
[Parallel(n_jobs=1)]: Done  25 out of  25 | elapsed:   16.8s remaining:    0.0s
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1623.687, total=   0.6s
[Parallel(n_jobs=1)]: Done  26 out of  26 | elapsed:   17.4s remaining:    0.0s
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1397.236, total=   0.8s
[Parallel(n_jobs=1)]: Done  27 out of  27 | elapsed:   18.2s remaining:    0.0s
[CV] bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5907183383176714, bagging_freq=6, boosting_type=gbdt, learning_rate=0.04121088764118007, max_bin=137, min_data_in_leaf=13, n_estimators=301, score=-1316.095, total=   0.5s
[Parallel(n_jobs=1)]: Done  28 out of  28 | elapsed:   18.7s remaining:    0.0s
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-5049.158, total=   0.5s
[Parallel(n_jobs=1)]: Done  29 out of  29 | elapsed:   19.2s remaining:    0.0s
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-5213.151, total=   0.6s
[Parallel(n_jobs=1)]: Done  30 out of  30 | elapsed:   19.8s remaining:    0.0s
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-5256.091, total=   0.5s
[Parallel(n_jobs=1)]: Done  31 out of  31 | elapsed:   20.3s remaining:    0.0s
[CV] bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242 
[LightGBM] [Warning] min_data_in_leaf is set=47, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=47
[LightGBM] [Warning] bagging_fraction is set=0.4015545223620346, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4015545223620346
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4015545223620346, bagging_freq=9, boosting_type=dart, learning_rate=0.009167797704707359, max_bin=148, min_data_in_leaf=47, n_estimators=242, score=-4945.968, total=   0.5s
[Parallel(n_jobs=1)]: Done  32 out of  32 | elapsed:   20.8s remaining:    0.0s
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3571.323, total=   0.7s
[Parallel(n_jobs=1)]: Done  33 out of  33 | elapsed:   21.6s remaining:    0.0s
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3723.834, total=   0.9s
[Parallel(n_jobs=1)]: Done  34 out of  34 | elapsed:   22.4s remaining:    0.0s
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3774.431, total=   0.7s
[Parallel(n_jobs=1)]: Done  35 out of  35 | elapsed:   23.1s remaining:    0.0s
[CV] bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5243355195208359, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5243355195208359
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5243355195208359, bagging_freq=5, boosting_type=dart, learning_rate=0.01930255919558733, max_bin=88, min_data_in_leaf=32, n_estimators=168, score=-3493.099, total=   1.1s
[Parallel(n_jobs=1)]: Done  36 out of  36 | elapsed:   24.2s remaining:    0.0s
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2271.571, total=   0.7s
[Parallel(n_jobs=1)]: Done  37 out of  37 | elapsed:   25.0s remaining:    0.0s
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2405.480, total=   0.8s
[Parallel(n_jobs=1)]: Done  38 out of  38 | elapsed:   25.7s remaining:    0.0s
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2355.796, total=   0.9s
[Parallel(n_jobs=1)]: Done  39 out of  39 | elapsed:   26.6s remaining:    0.0s
[CV] bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.5778608141213984, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5778608141213984
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5778608141213984, bagging_freq=5, boosting_type=dart, learning_rate=0.041700281649903255, max_bin=55, min_data_in_leaf=32, n_estimators=343, score=-2100.992, total=   0.7s
[Parallel(n_jobs=1)]: Done  40 out of  40 | elapsed:   27.3s remaining:    0.0s
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 
[LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29
[LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1723.977, total=   0.5s
[Parallel(n_jobs=1)]: Done  41 out of  41 | elapsed:   27.8s remaining:    0.0s
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 
[LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29
[LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1758.395, total=   0.6s
[Parallel(n_jobs=1)]: Done  42 out of  42 | elapsed:   28.4s remaining:    0.0s
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 
[LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29
[LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1587.592, total=   0.5s
[Parallel(n_jobs=1)]: Done  43 out of  43 | elapsed:   28.8s remaining:    0.0s
[CV] bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283 
[LightGBM] [Warning] min_data_in_leaf is set=29, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=29
[LightGBM] [Warning] bagging_fraction is set=0.5093342353584855, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5093342353584855
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5093342353584855, bagging_freq=8, boosting_type=gbdt, learning_rate=0.027683152281982492, max_bin=153, min_data_in_leaf=29, n_estimators=283, score=-1432.178, total=   0.4s
[Parallel(n_jobs=1)]: Done  44 out of  44 | elapsed:   29.3s remaining:    0.0s
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1893.508, total=   0.4s
[Parallel(n_jobs=1)]: Done  45 out of  45 | elapsed:   29.7s remaining:    0.0s
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1935.375, total=   0.5s
[Parallel(n_jobs=1)]: Done  46 out of  46 | elapsed:   30.1s remaining:    0.0s
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1817.536, total=   0.4s
[Parallel(n_jobs=1)]: Done  47 out of  47 | elapsed:   30.6s remaining:    0.0s
[CV] bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285 
[LightGBM] [Warning] min_data_in_leaf is set=33, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=33
[LightGBM] [Warning] bagging_fraction is set=0.48322456394635394, subsample=1.0 will be ignored. Current value: bagging_fraction=0.48322456394635394
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.48322456394635394, bagging_freq=7, boosting_type=gbdt, learning_rate=0.01266803593651592, max_bin=118, min_data_in_leaf=33, n_estimators=285, score=-1616.691, total=   0.3s
[Parallel(n_jobs=1)]: Done  48 out of  48 | elapsed:   30.9s remaining:    0.0s
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27
[LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1727.084, total=   0.3s
[Parallel(n_jobs=1)]: Done  49 out of  49 | elapsed:   31.2s remaining:    0.0s
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27
[LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1763.055, total=   0.3s
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27
[LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1567.695, total=   0.5s
[CV] bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178 
[LightGBM] [Warning] min_data_in_leaf is set=27, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=27
[LightGBM] [Warning] bagging_fraction is set=0.2868609276045833, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2868609276045833
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2868609276045833, bagging_freq=6, boosting_type=gbdt, learning_rate=0.09620715150800054, max_bin=71, min_data_in_leaf=27, n_estimators=178, score=-1486.057, total=   0.8s
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1748.887, total=   1.5s
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1742.220, total=   1.5s
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1689.148, total=   2.2s
[CV] bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.22529894827273667, subsample=1.0 will be ignored. Current value: bagging_fraction=0.22529894827273667
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.22529894827273667, bagging_freq=8, boosting_type=dart, learning_rate=0.09917691340859398, max_bin=70, min_data_in_leaf=11, n_estimators=167, score=-1555.319, total=   2.2s
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-1891.067, total=   1.0s
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-2011.293, total=   1.3s
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-1891.876, total=   0.8s
[CV] bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.24073296949155726, subsample=1.0 will be ignored. Current value: bagging_fraction=0.24073296949155726
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.24073296949155726, bagging_freq=7, boosting_type=dart, learning_rate=0.07873952677695592, max_bin=40, min_data_in_leaf=21, n_estimators=206, score=-1698.107, total=   0.8s
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2870.280, total=   0.7s
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2836.794, total=   0.8s
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2916.507, total=   1.0s
[CV] bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=16, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=16
[LightGBM] [Warning] bagging_fraction is set=0.4674969534439939, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4674969534439939
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4674969534439939, bagging_freq=5, boosting_type=gbdt, learning_rate=0.0009644304860341735, max_bin=192, min_data_in_leaf=16, n_estimators=315, score=-2588.944, total=   0.8s
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2773.205, total=   1.2s
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2938.013, total=   0.7s
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2924.392, total=   0.9s
[CV] bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.27731039009102576, subsample=1.0 will be ignored. Current value: bagging_fraction=0.27731039009102576
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.27731039009102576, bagging_freq=4, boosting_type=dart, learning_rate=0.0307309942429593, max_bin=193, min_data_in_leaf=30, n_estimators=164, score=-2645.014, total=   0.7s
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1632.974, total=   0.6s
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1677.748, total=   0.9s
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1512.158, total=   1.1s
[CV] bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.44470411661430215, subsample=1.0 will be ignored. Current value: bagging_fraction=0.44470411661430215
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.44470411661430215, bagging_freq=8, boosting_type=gbdt, learning_rate=0.07824077302218983, max_bin=108, min_data_in_leaf=28, n_estimators=333, score=-1394.685, total=   0.7s
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 
[LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48
[LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1784.860, total=   0.9s
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 
[LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48
[LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1897.409, total=   1.4s
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 
[LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48
[LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1761.863, total=   1.0s
[CV] bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166 
[LightGBM] [Warning] min_data_in_leaf is set=48, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=48
[LightGBM] [Warning] bagging_fraction is set=0.5904164890105315, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5904164890105315
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5904164890105315, bagging_freq=9, boosting_type=dart, learning_rate=0.0911419965541324, max_bin=130, min_data_in_leaf=48, n_estimators=166, score=-1553.445, total=   1.1s
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-3956.390, total=   1.4s
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-4125.425, total=   0.8s
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-4148.849, total=   0.6s
[CV] bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.2177175661171621, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2177175661171621
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2177175661171621, bagging_freq=4, boosting_type=dart, learning_rate=0.01621020286637137, max_bin=54, min_data_in_leaf=21, n_estimators=163, score=-3882.768, total=   0.8s
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1731.040, total=   0.5s
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1713.844, total=   0.6s
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1528.491, total=   0.9s
[CV] bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172 
[LightGBM] [Warning] min_data_in_leaf is set=12, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=12
[LightGBM] [Warning] bagging_fraction is set=0.2833247761623149, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2833247761623149
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2833247761623149, bagging_freq=9, boosting_type=gbdt, learning_rate=0.06344793737344055, max_bin=42, min_data_in_leaf=12, n_estimators=172, score=-1424.224, total=   0.5s
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1758.813, total=   0.8s
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1839.344, total=   0.9s
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1744.802, total=   0.8s
[CV] bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.30137038109414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.30137038109414
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.30137038109414, bagging_freq=9, boosting_type=dart, learning_rate=0.08595581889543426, max_bin=136, min_data_in_leaf=18, n_estimators=162, score=-1519.270, total=   1.2s
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 
[LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35
[LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1668.082, total=   0.7s
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 
[LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35
[LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1649.714, total=   0.8s
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 
[LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35
[LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1422.694, total=   1.0s
[CV] bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295 
[LightGBM] [Warning] min_data_in_leaf is set=35, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=35
[LightGBM] [Warning] bagging_fraction is set=0.6759963941523366, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6759963941523366
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6759963941523366, bagging_freq=9, boosting_type=gbdt, learning_rate=0.08033682536423688, max_bin=160, min_data_in_leaf=35, n_estimators=295, score=-1338.215, total=   0.6s
[CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1747.650, total=   1.1s
[CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1824.570, total=   1.7s
[CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
[CV]  bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1676.990, total=   1.3s
[CV] bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.5446504364153408, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5446504364153408
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5446504364153408, bagging_freq=8, boosting_type=dart, learning_rate=0.0755316223320965, max_bin=105, min_data_in_leaf=19, n_estimators=193, score=-1523.145, total=   1.2s
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2580.053, total=   1.3s
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2750.448, total=   1.0s
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2771.519, total=   2.1s
[CV] bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.26015593044679003, subsample=1.0 will be ignored. Current value: bagging_fraction=0.26015593044679003
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.26015593044679003, bagging_freq=5, boosting_type=dart, learning_rate=0.03345548956203344, max_bin=61, min_data_in_leaf=20, n_estimators=293, score=-2469.566, total=   2.9s
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3395.694, total=   1.6s
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3545.359, total=   1.6s
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3569.017, total=   1.3s
[CV] bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247 
[LightGBM] [Warning] min_data_in_leaf is set=22, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=22
[LightGBM] [Warning] bagging_fraction is set=0.690004744222891, subsample=1.0 will be ignored. Current value: bagging_fraction=0.690004744222891
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.690004744222891, bagging_freq=6, boosting_type=dart, learning_rate=0.020488912797526373, max_bin=144, min_data_in_leaf=22, n_estimators=247, score=-3323.974, total=   1.1s
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1558.276, total=   0.8s
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1578.848, total=   0.9s
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1480.354, total=   1.1s
[CV] bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.47897405278202526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.47897405278202526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.47897405278202526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.09599176990897997, max_bin=117, min_data_in_leaf=23, n_estimators=307, score=-1378.688, total=   0.9s
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1796.468, total=   0.3s
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1868.623, total=   0.3s
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1639.481, total=   0.3s
[CV] bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.3386164174904431, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3386164174904431
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3386164174904431, bagging_freq=7, boosting_type=gbdt, learning_rate=0.031669277037269745, max_bin=41, min_data_in_leaf=28, n_estimators=231, score=-1512.819, total=   0.4s
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1638.245, total=   0.8s
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1681.454, total=   0.6s
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1495.958, total=   0.6s
[CV] bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=18, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=18
[LightGBM] [Warning] bagging_fraction is set=0.583251983185906, subsample=1.0 will be ignored. Current value: bagging_fraction=0.583251983185906
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.583251983185906, bagging_freq=7, boosting_type=gbdt, learning_rate=0.02541778255499986, max_bin=147, min_data_in_leaf=18, n_estimators=210, score=-1359.525, total=   1.0s
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-2277.960, total=   0.3s
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-2302.517, total=   0.3s
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-2250.934, total=   0.3s
[CV] bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257 
[LightGBM] [Warning] min_data_in_leaf is set=42, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=42
[LightGBM] [Warning] bagging_fraction is set=0.4012474497191792, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4012474497191792
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4012474497191792, bagging_freq=6, boosting_type=gbdt, learning_rate=0.00575984892042627, max_bin=144, min_data_in_leaf=42, n_estimators=257, score=-1979.651, total=   0.3s
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2361.861, total=   1.2s
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2501.601, total=   0.9s
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2484.148, total=   1.2s
[CV] bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332 
[LightGBM] [Warning] min_data_in_leaf is set=14, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=14
[LightGBM] [Warning] bagging_fraction is set=0.28557645150265804, subsample=1.0 will be ignored. Current value: bagging_fraction=0.28557645150265804
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.28557645150265804, bagging_freq=5, boosting_type=dart, learning_rate=0.03830872492230061, max_bin=63, min_data_in_leaf=14, n_estimators=332, score=-2225.460, total=   1.1s
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-2264.621, total=   0.6s
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-2244.802, total=   0.7s
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-2268.020, total=   1.7s
[CV] bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=20
[LightGBM] [Warning] bagging_fraction is set=0.68770106672526, subsample=1.0 will be ignored. Current value: bagging_fraction=0.68770106672526
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.68770106672526, bagging_freq=4, boosting_type=gbdt, learning_rate=0.00394614507967167, max_bin=165, min_data_in_leaf=20, n_estimators=319, score=-1990.219, total=   1.4s
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1671.327, total=   0.5s
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1709.087, total=   0.5s
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1496.344, total=   0.7s
[CV] bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156 
[LightGBM] [Warning] min_data_in_leaf is set=41, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=41
[LightGBM] [Warning] bagging_fraction is set=0.6716424395606857, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6716424395606857
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6716424395606857, bagging_freq=4, boosting_type=gbdt, learning_rate=0.04536291058106631, max_bin=74, min_data_in_leaf=41, n_estimators=156, score=-1407.568, total=   0.5s
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-4876.899, total=   1.6s
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-5055.037, total=   2.3s
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-5074.910, total=   1.9s
[CV] bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.5745772422932669, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5745772422932669
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5745772422932669, bagging_freq=6, boosting_type=dart, learning_rate=0.009565808020574973, max_bin=77, min_data_in_leaf=11, n_estimators=206, score=-4819.780, total=   0.9s
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4747.245, total=   1.0s
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4893.667, total=   1.0s
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4942.862, total=   1.3s
[CV] bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265 
[LightGBM] [Warning] min_data_in_leaf is set=38, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=38
[LightGBM] [Warning] bagging_fraction is set=0.5394541193908347, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5394541193908347
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5394541193908347, bagging_freq=5, boosting_type=dart, learning_rate=0.010722323989375416, max_bin=42, min_data_in_leaf=38, n_estimators=265, score=-4656.902, total=   1.2s
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37
[LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-2079.601, total=   1.3s
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37
[LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-2190.921, total=   0.9s
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37
[LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-2136.982, total=   0.9s
[CV] bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291 
[LightGBM] [Warning] min_data_in_leaf is set=37, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=37
[LightGBM] [Warning] bagging_fraction is set=0.6728202776170571, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6728202776170571
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6728202776170571, bagging_freq=8, boosting_type=dart, learning_rate=0.04916784946800679, max_bin=190, min_data_in_leaf=37, n_estimators=291, score=-1910.978, total=   0.8s
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1736.751, total=   0.9s
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1811.759, total=   0.8s
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1711.182, total=   0.9s
[CV] bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344 
[LightGBM] [Warning] min_data_in_leaf is set=21, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=21
[LightGBM] [Warning] bagging_fraction is set=0.5124050508727059, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5124050508727059
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5124050508727059, bagging_freq=8, boosting_type=dart, learning_rate=0.07805254034244383, max_bin=86, min_data_in_leaf=21, n_estimators=344, score=-1517.383, total=   0.9s
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1854.019, total=   0.7s
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1989.154, total=   0.6s
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1858.487, total=   0.7s
[CV] bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5502183116998349, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5502183116998349
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5502183116998349, bagging_freq=7, boosting_type=dart, learning_rate=0.07328064665551949, max_bin=180, min_data_in_leaf=40, n_estimators=297, score=-1641.672, total=   0.7s
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5662.535, total=   0.8s
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5852.206, total=   0.9s
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5866.914, total=   0.9s
[CV] bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223 
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5605563331132271, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5605563331132271
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5605563331132271, bagging_freq=4, boosting_type=dart, learning_rate=0.005821247081529247, max_bin=107, min_data_in_leaf=13, n_estimators=223, score=-5591.635, total=   0.9s
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1733.177, total=   0.8s
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1832.168, total=   0.8s
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1699.704, total=   0.9s
[CV] bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.6423079411266414, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6423079411266414
[LightGBM] [Warning] bagging_freq is set=8, subsample_freq=0 will be ignored. Current value: bagging_freq=8
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6423079411266414, bagging_freq=8, boosting_type=dart, learning_rate=0.08136764000626326, max_bin=164, min_data_in_leaf=30, n_estimators=210, score=-1516.642, total=   0.9s
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-2075.731, total=   0.5s
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-2238.358, total=   0.5s
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-2151.712, total=   0.5s
[CV] bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314 
[LightGBM] [Warning] min_data_in_leaf is set=30, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=30
[LightGBM] [Warning] bagging_fraction is set=0.2703751147615228, subsample=1.0 will be ignored. Current value: bagging_fraction=0.2703751147615228
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.2703751147615228, bagging_freq=4, boosting_type=dart, learning_rate=0.05646075015987888, max_bin=99, min_data_in_leaf=30, n_estimators=314, score=-1891.220, total=   0.5s
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5197.801, total=   0.7s
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5367.000, total=   0.6s
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5401.755, total=   0.6s
[CV] bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288 
[LightGBM] [Warning] min_data_in_leaf is set=28, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=28
[LightGBM] [Warning] bagging_fraction is set=0.39032183060889597, subsample=1.0 will be ignored. Current value: bagging_fraction=0.39032183060889597
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.39032183060889597, bagging_freq=7, boosting_type=dart, learning_rate=0.008231582898978972, max_bin=104, min_data_in_leaf=28, n_estimators=288, score=-5105.671, total=   0.6s
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2170.603, total=   0.7s
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2316.456, total=   0.6s
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2258.729, total=   0.7s
[CV] bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319 
[LightGBM] [Warning] min_data_in_leaf is set=32, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=32
[LightGBM] [Warning] bagging_fraction is set=0.4945425898987232, subsample=1.0 will be ignored. Current value: bagging_fraction=0.4945425898987232
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.4945425898987232, bagging_freq=9, boosting_type=dart, learning_rate=0.04586708383905474, max_bin=126, min_data_in_leaf=32, n_estimators=319, score=-2002.750, total=   0.7s
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1764.552, total=   0.8s
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1852.231, total=   0.9s
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1728.413, total=   0.8s
[CV] bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299 
[LightGBM] [Warning] min_data_in_leaf is set=23, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=23
[LightGBM] [Warning] bagging_fraction is set=0.6262014551801904, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6262014551801904
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6262014551801904, bagging_freq=9, boosting_type=dart, learning_rate=0.07162515905637651, max_bin=185, min_data_in_leaf=23, n_estimators=299, score=-1547.060, total=   0.8s
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-2012.762, total=   0.4s
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-2138.991, total=   0.4s
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-2046.295, total=   0.4s
[CV] bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328 
[LightGBM] [Warning] min_data_in_leaf is set=39, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=39
[LightGBM] [Warning] bagging_fraction is set=0.21427413284364888, subsample=1.0 will be ignored. Current value: bagging_fraction=0.21427413284364888
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.21427413284364888, bagging_freq=4, boosting_type=dart, learning_rate=0.07910514633146729, max_bin=41, min_data_in_leaf=39, n_estimators=328, score=-1775.073, total=   0.4s
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1735.811, total=   0.4s
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1763.374, total=   0.3s
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1576.422, total=   0.4s
[CV] bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220 
[LightGBM] [Warning] min_data_in_leaf is set=19, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=19
[LightGBM] [Warning] bagging_fraction is set=0.25075468620943214, subsample=1.0 will be ignored. Current value: bagging_fraction=0.25075468620943214
[LightGBM] [Warning] bagging_freq is set=4, subsample_freq=0 will be ignored. Current value: bagging_freq=4
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.25075468620943214, bagging_freq=4, boosting_type=gbdt, learning_rate=0.05327229023430851, max_bin=153, min_data_in_leaf=19, n_estimators=220, score=-1452.885, total=   0.3s
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-1986.042, total=   0.6s
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-2106.089, total=   0.7s
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-2050.577, total=   0.7s
[CV] bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323 
[LightGBM] [Warning] min_data_in_leaf is set=24, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=24
[LightGBM] [Warning] bagging_fraction is set=0.3184160731849106, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3184160731849106
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3184160731849106, bagging_freq=9, boosting_type=dart, learning_rate=0.057709934005765365, max_bin=192, min_data_in_leaf=24, n_estimators=323, score=-1827.957, total=   0.6s
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2799.142, total=   0.9s
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2967.073, total=   0.9s
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2957.612, total=   1.0s
[CV] bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315 
[LightGBM] [Warning] min_data_in_leaf is set=11, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=11
[LightGBM] [Warning] bagging_fraction is set=0.3416687098001651, subsample=1.0 will be ignored. Current value: bagging_fraction=0.3416687098001651
[LightGBM] [Warning] bagging_freq is set=9, subsample_freq=0 will be ignored. Current value: bagging_freq=9
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.3416687098001651, bagging_freq=9, boosting_type=dart, learning_rate=0.028030551206295686, max_bin=131, min_data_in_leaf=11, n_estimators=315, score=-2719.619, total=   0.9s
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3477.893, total=   0.6s
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3625.081, total=   0.6s
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3679.022, total=   0.6s
[CV] bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207 
[LightGBM] [Warning] min_data_in_leaf is set=49, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=49
[LightGBM] [Warning] bagging_fraction is set=0.6492219117702325, subsample=1.0 will be ignored. Current value: bagging_fraction=0.6492219117702325
[LightGBM] [Warning] bagging_freq is set=7, subsample_freq=0 will be ignored. Current value: bagging_freq=7
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.6492219117702325, bagging_freq=7, boosting_type=dart, learning_rate=0.020478867465719787, max_bin=125, min_data_in_leaf=49, n_estimators=207, score=-3405.863, total=   0.6s
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1822.565, total=   0.6s
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1932.893, total=   0.6s
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1793.553, total=   0.8s
[CV] bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189 
[LightGBM] [Warning] min_data_in_leaf is set=40, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=40
[LightGBM] [Warning] bagging_fraction is set=0.5754925616660449, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5754925616660449
[LightGBM] [Warning] bagging_freq is set=5, subsample_freq=0 will be ignored. Current value: bagging_freq=5
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

[CV]  bagging_fraction=0.5754925616660449, bagging_freq=5, boosting_type=dart, learning_rate=0.07750527791955238, max_bin=69, min_data_in_leaf=40, n_estimators=189, score=-1600.958, total=   1.1s
[Parallel(n_jobs=1)]: Done 200 out of 200 | elapsed:  2.7min finished
[LightGBM] [Warning] min_data_in_leaf is set=13, min_child_samples=20 will be ignored. Current value: min_data_in_leaf=13
[LightGBM] [Warning] bagging_fraction is set=0.5907183383176714, subsample=1.0 will be ignored. Current value: bagging_fraction=0.5907183383176714
[LightGBM] [Warning] bagging_freq is set=6, subsample_freq=0 will be ignored. Current value: bagging_freq=6
[LightGBM] [Warning] num_iterations is set=200, n_iter=200 will be ignored. Current value: num_iterations=200
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\lightgbm\engine.py:151: UserWarning:

Found `n_iter` in params. Will use it instead of argument

Out[83]:
RandomizedSearchCV(cv=4, estimator=LGBMRegressor(n_iter=200), n_iter=50,
                   param_distributions={'bagging_fraction': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA280>,
                                        'bagging_freq': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8C2700>,
                                        'boosting_type': ['dart', 'gbdt'],
                                        'learning_rate': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF7F0>,
                                        'max_bin': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE8CA970>,
                                        'min_data_in_leaf': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CFF70>,
                                        'n_estimators': <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001DCCE9CF1C0>},
                   scoring='neg_root_mean_squared_error', verbose=50)
In [84]:
# Wyświetlenie rezultatów dla poszczególnych prób hyperparametrów
pd.DataFrame(random_search_without_outliers.cv_results_).sort_values("rank_test_score")
Out[84]:
mean_fit_time std_fit_time mean_score_time std_score_time param_bagging_fraction param_bagging_freq param_boosting_type param_learning_rate param_max_bin param_min_data_in_leaf param_n_estimators params split0_test_score split1_test_score split2_test_score split3_test_score mean_test_score std_test_score rank_test_score
6 0.737 0.202 0.013 0.001 0.591 6 gbdt 0.041 137 13 301 {'bagging_fraction': 0.5907183383176714, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.04121088764118007, 'max_bin': 137, 'min_data_in_leaf': 13, 'n_estimators': 301} -1561.246 -1623.687 -1397.236 -1316.095 -1474.566 123.332 1
0 0.619 0.090 0.015 0.002 0.700 7 gbdt 0.075 93 18 169 {'bagging_fraction': 0.6998785875233111, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.07485064519324487, 'max_bin': 93, 'min_data_in_leaf': 18, 'n_estimators': 169} -1583.499 -1614.934 -1381.541 -1333.093 -1478.267 122.661 2
26 0.904 0.102 0.015 0.001 0.479 4 gbdt 0.096 117 23 307 {'bagging_fraction': 0.47897405278202526, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.09599176990897997, 'max_bin': 117, 'min_data_in_leaf': 23, 'n_estimators': 307} -1558.276 -1578.848 -1480.354 -1378.688 -1499.041 78.600 3
22 0.782 0.135 0.019 0.005 0.676 9 gbdt 0.080 160 35 295 {'bagging_fraction': 0.6759963941523366, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.08033682536423688, 'max_bin': 160, 'min_data_in_leaf': 35, 'n_estimators': 295} -1668.082 -1649.714 -1422.694 -1338.215 -1519.676 142.537 4
28 0.730 0.180 0.016 0.006 0.583 7 gbdt 0.025 147 18 210 {'bagging_fraction': 0.583251983185906, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.02541778255499986, 'max_bin': 147, 'min_data_in_leaf': 18, 'n_estimators': 210} -1638.245 -1681.454 -1495.958 -1359.525 -1543.795 126.604 5
17 0.814 0.191 0.017 0.003 0.445 8 gbdt 0.078 108 28 333 {'bagging_fraction': 0.44470411661430215, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.07824077302218983, 'max_bin': 108, 'min_data_in_leaf': 28, 'n_estimators': 333} -1632.974 -1677.748 -1512.158 -1394.685 -1554.391 110.320 6
32 0.549 0.084 0.014 0.002 0.672 4 gbdt 0.045 74 41 156 {'bagging_fraction': 0.6716424395606857, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.04536291058106631, 'max_bin': 74, 'min_data_in_leaf': 41, 'n_estimators': 156} -1671.327 -1709.087 -1496.344 -1407.568 -1571.082 123.912 7
20 0.631 0.177 0.014 0.002 0.283 9 gbdt 0.063 42 12 172 {'bagging_fraction': 0.2833247761623149, 'bagging_freq': 9, 'boosting_type': 'gbdt', 'learning_rate': 0.06344793737344055, 'max_bin': 42, 'min_data_in_leaf': 12, 'n_estimators': 172} -1731.040 -1713.844 -1528.491 -1424.224 -1599.400 128.590 8
3 0.568 0.318 0.014 0.003 0.397 4 gbdt 0.065 62 34 244 {'bagging_fraction': 0.39676145576873106, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.06494680994286729, 'max_bin': 62, 'min_data_in_leaf': 34, 'n_estimators': 244} -1694.937 -1744.980 -1574.772 -1419.995 -1608.671 125.269 9
10 0.477 0.055 0.013 0.001 0.509 8 gbdt 0.028 153 29 283 {'bagging_fraction': 0.5093342353584855, 'bagging_freq': 8, 'boosting_type': 'gbdt', 'learning_rate': 0.027683152281982492, 'max_bin': 153, 'min_data_in_leaf': 29, 'n_estimators': 283} -1723.977 -1758.395 -1587.592 -1432.178 -1625.535 128.617 10
45 0.356 0.024 0.012 0.002 0.251 4 gbdt 0.053 153 19 220 {'bagging_fraction': 0.25075468620943214, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.05327229023430851, 'max_bin': 153, 'min_data_in_leaf': 19, 'n_estimators': 220} -1735.811 -1763.374 -1576.422 -1452.885 -1632.123 125.705 11
12 0.465 0.222 0.017 0.006 0.287 6 gbdt 0.096 71 27 178 {'bagging_fraction': 0.2868609276045833, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.09620715150800054, 'max_bin': 71, 'min_data_in_leaf': 27, 'n_estimators': 178} -1727.084 -1763.055 -1567.695 -1486.057 -1635.973 113.565 12
13 1.836 0.376 0.022 0.006 0.225 8 dart 0.099 70 11 167 {'bagging_fraction': 0.22529894827273667, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.09917691340859398, 'max_bin': 70, 'min_data_in_leaf': 11, 'n_estimators': 167} -1748.887 -1742.220 -1689.148 -1555.319 -1683.894 77.758 13
23 1.306 0.221 0.013 0.001 0.545 8 dart 0.076 105 19 193 {'bagging_fraction': 0.5446504364153408, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.0755316223320965, 'max_bin': 105, 'min_data_in_leaf': 19, 'n_estimators': 193} -1747.650 -1824.570 -1676.990 -1523.145 -1693.089 111.135 14
36 0.855 0.018 0.013 0.001 0.512 8 dart 0.078 86 21 344 {'bagging_fraction': 0.5124050508727059, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.07805254034244383, 'max_bin': 86, 'min_data_in_leaf': 21, 'n_estimators': 344} -1736.751 -1811.759 -1711.182 -1517.383 -1694.269 108.609 15
39 0.835 0.044 0.012 0.001 0.642 8 dart 0.081 164 30 210 {'bagging_fraction': 0.6423079411266414, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.08136764000626326, 'max_bin': 164, 'min_data_in_leaf': 30, 'n_estimators': 210} -1733.177 -1832.168 -1699.704 -1516.642 -1695.423 114.133 16
27 0.309 0.035 0.012 0.001 0.339 7 gbdt 0.032 41 28 231 {'bagging_fraction': 0.3386164174904431, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.031669277037269745, 'max_bin': 41, 'min_data_in_leaf': 28, 'n_estimators': 231} -1796.468 -1868.623 -1639.481 -1512.819 -1704.348 138.169 17
4 0.432 0.098 0.013 0.002 0.596 5 gbdt 0.027 65 49 185 {'bagging_fraction': 0.5960579251101352, 'bagging_freq': 5, 'boosting_type': 'gbdt', 'learning_rate': 0.027176967873624027, 'max_bin': 65, 'min_data_in_leaf': 49, 'n_estimators': 185} -1794.134 -1896.435 -1664.133 -1500.531 -1713.808 148.121 18
21 0.937 0.161 0.014 0.002 0.301 9 dart 0.086 136 18 162 {'bagging_fraction': 0.30137038109414, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.08595581889543426, 'max_bin': 136, 'min_data_in_leaf': 18, 'n_estimators': 162} -1758.813 -1839.344 -1744.802 -1519.270 -1715.557 118.931 19
43 0.847 0.045 0.013 0.003 0.626 9 dart 0.072 185 23 299 {'bagging_fraction': 0.6262014551801904, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.07162515905637651, 'max_bin': 185, 'min_data_in_leaf': 23, 'n_estimators': 299} -1764.552 -1852.231 -1728.413 -1547.060 -1723.064 111.143 20
18 1.079 0.183 0.019 0.001 0.590 9 dart 0.091 130 48 166 {'bagging_fraction': 0.5904164890105315, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.0911419965541324, 'max_bin': 130, 'min_data_in_leaf': 48, 'n_estimators': 166} -1784.860 -1897.409 -1761.863 -1553.445 -1749.394 124.215 21
49 0.767 0.178 0.018 0.005 0.575 5 dart 0.078 69 40 189 {'bagging_fraction': 0.5754925616660449, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.07750527791955238, 'max_bin': 69, 'min_data_in_leaf': 40, 'n_estimators': 189} -1822.565 -1932.893 -1793.553 -1600.958 -1787.492 119.586 22
11 0.399 0.037 0.010 0.001 0.483 7 gbdt 0.013 118 33 285 {'bagging_fraction': 0.48322456394635394, 'bagging_freq': 7, 'boosting_type': 'gbdt', 'learning_rate': 0.01266803593651592, 'max_bin': 118, 'min_data_in_leaf': 33, 'n_estimators': 285} -1893.508 -1935.375 -1817.536 -1616.691 -1815.778 122.458 23
37 0.680 0.045 0.013 0.001 0.550 7 dart 0.073 180 40 297 {'bagging_fraction': 0.5502183116998349, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.07328064665551949, 'max_bin': 180, 'min_data_in_leaf': 40, 'n_estimators': 297} -1854.019 -1989.154 -1858.487 -1641.672 -1835.833 124.549 24
14 0.934 0.216 0.019 0.003 0.241 7 dart 0.079 40 21 206 {'bagging_fraction': 0.24073296949155726, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.07873952677695592, 'max_bin': 40, 'min_data_in_leaf': 21, 'n_estimators': 206} -1891.067 -2011.293 -1891.876 -1698.107 -1873.086 112.244 25
46 0.633 0.017 0.011 0.000 0.318 9 dart 0.058 192 24 323 {'bagging_fraction': 0.3184160731849106, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.057709934005765365, 'max_bin': 192, 'min_data_in_leaf': 24, 'n_estimators': 323} -1986.042 -2106.089 -2050.577 -1827.957 -1992.666 104.153 26
44 0.382 0.008 0.013 0.006 0.214 4 dart 0.079 41 39 328 {'bagging_fraction': 0.21427413284364888, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.07910514633146729, 'max_bin': 41, 'min_data_in_leaf': 39, 'n_estimators': 328} -2012.762 -2138.991 -2046.295 -1775.073 -1993.281 134.198 27
35 0.966 0.196 0.014 0.003 0.673 8 dart 0.049 190 37 291 {'bagging_fraction': 0.6728202776170571, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.04916784946800679, 'max_bin': 190, 'min_data_in_leaf': 37, 'n_estimators': 291} -2079.601 -2190.921 -2136.982 -1910.978 -2079.620 105.022 28
40 0.499 0.024 0.011 0.001 0.270 4 dart 0.056 99 30 314 {'bagging_fraction': 0.2703751147615228, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.05646075015987888, 'max_bin': 99, 'min_data_in_leaf': 30, 'n_estimators': 314} -2075.731 -2238.358 -2151.712 -1891.220 -2089.255 127.997 29
42 0.667 0.028 0.012 0.001 0.495 9 dart 0.046 126 32 319 {'bagging_fraction': 0.4945425898987232, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.04586708383905474, 'max_bin': 126, 'min_data_in_leaf': 32, 'n_estimators': 319} -2170.603 -2316.456 -2258.729 -2002.750 -2187.135 118.449 30
31 1.078 0.445 0.019 0.012 0.688 4 gbdt 0.004 165 20 319 {'bagging_fraction': 0.68770106672526, 'bagging_freq': 4, 'boosting_type': 'gbdt', 'learning_rate': 0.00394614507967167, 'max_bin': 165, 'min_data_in_leaf': 20, 'n_estimators': 319} -2264.621 -2244.802 -2268.020 -1990.219 -2191.915 116.787 31
29 0.298 0.021 0.013 0.006 0.401 6 gbdt 0.006 144 42 257 {'bagging_fraction': 0.4012474497191792, 'bagging_freq': 6, 'boosting_type': 'gbdt', 'learning_rate': 0.00575984892042627, 'max_bin': 144, 'min_data_in_leaf': 42, 'n_estimators': 257} -2277.960 -2302.517 -2250.934 -1979.651 -2202.766 130.101 32
2 1.027 0.365 0.016 0.004 0.580 5 dart 0.043 174 32 243 {'bagging_fraction': 0.5800802183392917, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.042888181968319665, 'max_bin': 174, 'min_data_in_leaf': 32, 'n_estimators': 243} -2216.235 -2368.762 -2317.106 -2071.467 -2243.392 113.410 33
9 0.750 0.067 0.011 0.002 0.578 5 dart 0.042 55 32 343 {'bagging_fraction': 0.5778608141213984, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.041700281649903255, 'max_bin': 55, 'min_data_in_leaf': 32, 'n_estimators': 343} -2271.571 -2405.480 -2355.796 -2100.992 -2283.460 115.713 34
30 1.066 0.130 0.015 0.001 0.286 5 dart 0.038 63 14 332 {'bagging_fraction': 0.28557645150265804, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.03830872492230061, 'max_bin': 63, 'min_data_in_leaf': 14, 'n_estimators': 332} -2361.861 -2501.601 -2484.148 -2225.460 -2393.267 110.839 35
24 1.807 0.743 0.024 0.010 0.260 5 dart 0.033 61 20 293 {'bagging_fraction': 0.26015593044679003, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.03345548956203344, 'max_bin': 61, 'min_data_in_leaf': 20, 'n_estimators': 293} -2580.053 -2750.448 -2771.519 -2469.566 -2642.897 124.603 36
15 0.807 0.129 0.018 0.007 0.467 5 gbdt 0.001 192 16 315 {'bagging_fraction': 0.4674969534439939, 'bagging_freq': 5, 'boosting_type': 'gbdt', 'learning_rate': 0.0009644304860341735, 'max_bin': 192, 'min_data_in_leaf': 16, 'n_estimators': 315} -2870.280 -2836.794 -2916.507 -2588.944 -2803.131 126.859 37
16 0.878 0.197 0.013 0.002 0.277 4 dart 0.031 193 30 164 {'bagging_fraction': 0.27731039009102576, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.0307309942429593, 'max_bin': 193, 'min_data_in_leaf': 30, 'n_estimators': 164} -2773.205 -2938.013 -2924.392 -2645.014 -2820.156 120.036 38
5 0.607 0.091 0.017 0.009 0.259 5 dart 0.031 114 30 321 {'bagging_fraction': 0.25907724124522485, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.030568542699766065, 'max_bin': 114, 'min_data_in_leaf': 30, 'n_estimators': 321} -2807.498 -2957.506 -2992.983 -2680.385 -2859.593 124.709 39
47 0.907 0.040 0.012 0.001 0.342 9 dart 0.028 131 11 315 {'bagging_fraction': 0.3416687098001651, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.028030551206295686, 'max_bin': 131, 'min_data_in_leaf': 11, 'n_estimators': 315} -2799.142 -2967.073 -2957.612 -2719.619 -2860.861 105.357 40
25 1.395 0.192 0.023 0.004 0.690 6 dart 0.020 144 22 247 {'bagging_fraction': 0.690004744222891, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.020488912797526373, 'max_bin': 144, 'min_data_in_leaf': 22, 'n_estimators': 247} -3395.694 -3545.359 -3569.017 -3323.974 -3458.511 102.225 41
48 0.591 0.017 0.011 0.001 0.649 7 dart 0.020 125 49 207 {'bagging_fraction': 0.6492219117702325, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.020478867465719787, 'max_bin': 125, 'min_data_in_leaf': 49, 'n_estimators': 207} -3477.893 -3625.081 -3679.022 -3405.863 -3546.965 109.797 42
1 0.582 0.071 0.011 0.002 0.206 8 dart 0.021 124 21 150 {'bagging_fraction': 0.20629497701052413, 'bagging_freq': 8, 'boosting_type': 'dart', 'learning_rate': 0.02054395045871853, 'max_bin': 124, 'min_data_in_leaf': 21, 'n_estimators': 150} -3530.200 -3657.556 -3690.255 -3391.109 -3567.280 117.987 43
8 0.840 0.152 0.013 0.002 0.524 5 dart 0.019 88 32 168 {'bagging_fraction': 0.5243355195208359, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.01930255919558733, 'max_bin': 88, 'min_data_in_leaf': 32, 'n_estimators': 168} -3571.323 -3723.834 -3774.431 -3493.099 -3640.672 113.352 44
19 0.885 0.328 0.012 0.002 0.218 4 dart 0.016 54 21 163 {'bagging_fraction': 0.2177175661171621, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.01621020286637137, 'max_bin': 54, 'min_data_in_leaf': 21, 'n_estimators': 163} -3956.390 -4125.425 -4148.849 -3882.768 -4028.358 112.156 45
34 1.080 0.133 0.019 0.007 0.539 5 dart 0.011 42 38 265 {'bagging_fraction': 0.5394541193908347, 'bagging_freq': 5, 'boosting_type': 'dart', 'learning_rate': 0.010722323989375416, 'max_bin': 42, 'min_data_in_leaf': 38, 'n_estimators': 265} -4747.245 -4893.667 -4942.862 -4656.902 -4810.169 114.050 46
33 1.667 0.502 0.014 0.004 0.575 6 dart 0.010 77 11 206 {'bagging_fraction': 0.5745772422932669, 'bagging_freq': 6, 'boosting_type': 'dart', 'learning_rate': 0.009565808020574973, 'max_bin': 77, 'min_data_in_leaf': 11, 'n_estimators': 206} -4876.899 -5055.037 -5074.910 -4819.780 -4956.657 110.407 47
7 0.505 0.050 0.011 0.002 0.402 9 dart 0.009 148 47 242 {'bagging_fraction': 0.4015545223620346, 'bagging_freq': 9, 'boosting_type': 'dart', 'learning_rate': 0.009167797704707359, 'max_bin': 148, 'min_data_in_leaf': 47, 'n_estimators': 242} -5049.158 -5213.151 -5256.091 -4945.968 -5116.092 124.942 48
41 0.636 0.045 0.010 0.001 0.390 7 dart 0.008 104 28 288 {'bagging_fraction': 0.39032183060889597, 'bagging_freq': 7, 'boosting_type': 'dart', 'learning_rate': 0.008231582898978972, 'max_bin': 104, 'min_data_in_leaf': 28, 'n_estimators': 288} -5197.801 -5367.000 -5401.755 -5105.671 -5268.057 121.419 49
38 0.872 0.050 0.012 0.001 0.561 4 dart 0.006 107 13 223 {'bagging_fraction': 0.5605563331132271, 'bagging_freq': 4, 'boosting_type': 'dart', 'learning_rate': 0.005821247081529247, 'max_bin': 107, 'min_data_in_leaf': 13, 'n_estimators': 223} -5662.535 -5852.206 -5866.914 -5591.635 -5743.322 119.023 50
In [85]:
# Zwrócenie najlepszego modelu do zmiennej
best_model_wo = random_search_without_outliers.best_estimator_
In [86]:
# Obliczenie metryk dla zbioru uczącego i testowego
calculate_metrics(best_model_wo, X_train_wo, y_train_wo, X_test_wo, y_test_wo)
train test
MAPE 6.746 9.601
RMSE 931.749 1520.538
In [87]:
# Wykres reszt
residuals_plot(best_model_wo, X_train_wo, y_train_wo, X_test_wo, y_test_wo)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning:

From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.

Out[87]:
ResidualsPlot(ax=<AxesSubplot:title={'center':'Residuals for LGBMRegressor Model'}, xlabel='Predicted Value', ylabel='Residuals'>,
              line_color=None, model=None, test_alpha=None, test_color=None,
              train_alpha=None, train_color=None)
In [88]:
# Wykres błędów predykcji
prediction_error(best_model_wo, X_train_wo, y_train_wo, X_test_wo, y_test_wo)
C:\Users\grzegorz.kuprewicz\AppData\Local\Continuum\anaconda3\envs\estate\lib\site-packages\sklearn\base.py:209: FutureWarning:

From version 0.24, get_params will raise an AttributeError if a parameter cannot be retrieved as an instance attribute. Previously it would return None.

Out[88]:
PredictionError(ax=<AxesSubplot:title={'center':'Prediction Error for LGBMRegressor'}, xlabel='$y$', ylabel='$\\hat{y}$'>,
                model=None)
In [89]:
# Interpretacja wyników modelu z wykorzystaniem wartości SHAP
shap_values = shap.TreeExplainer(best_model).shap_values(X_test_wo)
In [90]:
shap.summary_plot(shap_values, X_test_wo)

Usunięcie wartości odstających poprawiło wyniki modelu - podniesienie R2 o blisko 2 punkty procentowe, redukcja błędów predykcji.

Z wykresu reszt oraz błędów predykcji można zauważyć, że model słabiej radzi sobie z ofertami o wysokiej cenie za metr - powyżej 15 tysięcy złotych.

Z wykresu wartości SHAP można zauważyć m.in:

  • im starszy budynek tym bardziej negatywny wpływ na cenę jednostkową
  • dłuższy dojazd transportem zbiorowym wpływa negatywnie na cenę jednostkową
  • położenie w dzielnicach nadmorskich pozytywnie wpływa na cenę
  • nieruchomości do remontu mają niższą cenę za metr
  • nieruchomości, które nie są w Gdańsku mają wyższą cenę za metr